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The Food and Drug Administration’s (FDA’s) recent approval of the loss drug Wegovy means it’ll soon sweep the nation. However, as its popularity and price have surged, it’s become less accessible to the average American. Can wearables provide a solution to this problem? The Problem With Wegovy and How Wearables Can Fix It The weight loss market is at an all-time high — and indicators suggest it’ll continue expanding. According to one estimate, its value will surpass $399.3 billion by 2032, achieving a CAGR of 10.3%. This growth has driven demand for drugs like Wegovy. Wegovy is a treatment for chronic weight management. Its recent FDA approval means it will likely become one of the leading weight loss drugs in the United States. That said, despite the country’s high obesity rate most — 41.9% of adults over 20 are obese — Americans won’t benefit from it. Most people don’t have an extra $1,300 to spend each month — that’s Wegovy’s list price. Although one report found its average net price was $700 monthly between 2022 to 2023, it’s still more than most can afford. What’s worse is that Wegovy isn’t just a weight loss drug — new evidence suggests it can also lower the risk of cardiovascular issues, prolonging people’s lives. A 17,000-patient study discovered those taking it had a 20% lower risk of experiencing a cardiac-related health event than those taking a placebo. Skyrocketing demand, high research and development costs, the limited availability of clinical trials, and technology gaps might make it almost impossible for Novo Nordisk — the drugmaker behind Wegovy — to improve the accessibility of its lifesaving, fat-burning drug. That’s where wearable tech comes in. Wearables could improve Wegovy’s treatment efficacy, increasing its ability to accomplish desired outcomes. Their unique data collection capabilities could also accelerate research, potentially lowering costs and increasing accessibility. How Wearables Can Track and Enhance Treatment Efficacy Wearable tech has emerged as the next horizon in health care. It has proven exceptionally valuable in clinical trials because it can gather patient data 24/7 regardless of participants’ location — specialized facilities and invasive observation technology can move aside. Medical professionals can track treatment efficacy by monitoring the real-time patient data internet-connected wearables constantly send. Being able to view data-driven results immediately instead of waiting for testing or in-person visits streamlines their processes. Eventually, clinical trial teams can gather enough information to segment participants by demographics, physical states, or preexisting conditions. This way, they can tailor factors like dosage or medication frequency to each group, increasing the drug’s effectiveness. Unlike other sensor technologies, wearable tech often pairs with a supplementary app. Drugmakers and clinical trial leaders could use this unique functionality to send helpful push notifications or help people track their progress. Wearable Tech Tracks Patients’ Treatment Responses Wearable tech can monitor physiological responses like glucose levels and heart rate without invasive procedures like blood drawing. It can track metrics like blood pressure, blood oxygen level, or daily calories burned the same way. Non-invasive sensor tech — meaning no needles, swallowable capsules, or electrodes — could help people feel better about participating in clinical trials or taking new drugs. There’s no longer any need for repetitive, painful, or time-consuming testing. How Wearable Tech Can Promote Self-Efficacy One overlooked opportunity for wearables involves self-efficacy — a person’s belief in their ability to reach a specific goal. When people wear something that tracks their activity and health, they feel more inclined to improve their habits. While a medication can help people slim down, weight loss usually requires various efforts. In a 68-week clinical trial, Wegovy lowered participants’ mean body weight by 14.9% by targeting hormones responsible for appetite and food intake — a noticeable difference from the placebo’s 2.4% reduction. Notably, the loss is within the 5%–15% range recommended to improve obesity-related conditions. Although research shows Wegovy outperforms similar drugs, its long-term outcomes remain unproven — the 68-week clinical trial saw participants adopt healthy habits and take the drug to achieve clinically relevant body weight reduction. In other words, the self-efficacy wearables could prompt lifestyle changes, increasing the drug’s effectiveness. Research suggests wearables increase self-efficacy in weight loss trial participants by encouraging physical activity, motivating and enhancing awareness. While there’s no clear link between diet, exercise, and this technology, researchers have made some connections. Wearables could go a long way in making Wegovy more accessible to the average American seeking to shed a few pounds. Typically, people gain weight quickly after stopping these kinds of drugs, but most won’t be able to afford the $700 monthly bill. Pairing the medication with lifestyle changes could enhance its effectiveness, increasing long-term success. Integration Obstacles That Need Overcoming One of the largest obstacles drugmakers and clinical trial leaders must overcome is data accuracy. Although 24/7 at-home monitoring makes processes easier, it can also mess them up. Countless variables could affect results since participants aren’t inside a controlled environment. Wegovy isn’t supposed to be used with other semaglutide-containing products for safety reasons. This factor is simple enough to control in a lab. However, it’s easy for someone at home to pick up an over-the-counter prescription or use an herbal remedy without reading the label to check for semaglutide. Privacy concerns are another obstacle since wearable tech tracks excess information. While the abundance of measurements is excellent for researchers, patients might hesitate to share so much. There’s also the issue of data breaches and leaks. If the weight loss market plans to integrate wearables into health care — a sector notorious for its late adoption of technology due to several legal, moral, and regulatory hurdles — they’ll need to consider the upfront cost. Do clinical trial participants pay for the tech? Who pays when someone breaks theirs? Decision-makers should also consider long-term effectiveness. While this tech can inspire lifestyle changes, people might be unwilling to stick to their new fitness routines. Unless they ensure participants stay dedicated, it’ll look like their decreasing use correlates to diminishing efficacy. The Power of Wearable Tech for Treatment Efficacy If clinical trial leaders and medical professionals give people wearables when they hand out Wegovy, there’s a good chance they’ll enhance treatment success, leading to better long-term patient outcomes. Eventually, these improvements could lead to a more affordable drug and higher demand — a win-win for both the drugmaker and those looking to lose weight. The Food and Drug Administration’s (FDA’s) recent approval of the loss drug Wegovy means it’ll soon sweep the nation. However, as its popularity and price have surged, it’s become less accessible to the average American. Can wearables provide a solution to this problem? The Problem With Wegovy and How Wearables Can Fix It The Problem With Wegovy and How Wearables Can Fix It The weight loss market is at an all-time high — and indicators suggest it’ll continue expanding. According to one estimate, its value will surpass $399.3 billion by 2032, achieving a CAGR of 10.3%. This growth has driven demand for drugs like Wegovy. will surpass $399.3 billion will surpass $399.3 billion Wegovy is a treatment for chronic weight management. Its recent FDA approval means it will likely become one of the leading weight loss drugs in the United States. That said, despite the country’s high obesity rate most — 41.9% of adults over 20 are obese — Americans won’t benefit from it. 41.9% of adults over 20 41.9% of adults over 20 Most people don’t have an extra $1,300 to spend each month — that’s Wegovy’s list price. Although one report found its average net price was $700 monthly between 2022 to 2023, it’s still more than most can afford. net price was $700 monthly net price was $700 monthly What’s worse is that Wegovy isn’t just a weight loss drug — new evidence suggests it can also lower the risk of cardiovascular issues, prolonging people’s lives. A 17,000-patient study discovered those taking it had a 20% lower risk of experiencing a cardiac-related health event than those taking a placebo. had a 20% lower risk had a 20% lower risk Skyrocketing demand, high research and development costs, the limited availability of clinical trials, and technology gaps might make it almost impossible for Novo Nordisk — the drugmaker behind Wegovy — to improve the accessibility of its lifesaving, fat-burning drug. That’s where wearable tech comes in. Wearables could improve Wegovy’s treatment efficacy, increasing its ability to accomplish desired outcomes. Their unique data collection capabilities could also accelerate research, potentially lowering costs and increasing accessibility. How Wearables Can Track and Enhance Treatment Efficacy Wearable tech has emerged as the next horizon in health care. It has proven exceptionally valuable in clinical trials because it can gather patient data 24/7 regardless of participants’ location — specialized facilities and invasive observation technology can move aside. has proven exceptionally valuable has proven exceptionally valuable Medical professionals can track treatment efficacy by monitoring the real-time patient data internet-connected wearables constantly send. Being able to view data-driven results immediately instead of waiting for testing or in-person visits streamlines their processes. Eventually, clinical trial teams can gather enough information to segment participants by demographics, physical states, or preexisting conditions. This way, they can tailor factors like dosage or medication frequency to each group, increasing the drug’s effectiveness. Unlike other sensor technologies, wearable tech often pairs with a supplementary app. Drugmakers and clinical trial leaders could use this unique functionality to send helpful push notifications or help people track their progress. Wearable Tech Tracks Patients’ Treatment Responses Wearable tech can monitor physiological responses like glucose levels and heart rate without invasive procedures like blood drawing. It can track metrics like blood pressure, blood oxygen level, or daily calories burned the same way. Non-invasive sensor tech — meaning no needles, swallowable capsules, or electrodes — could help people feel better about participating in clinical trials or taking new drugs. There’s no longer any need for repetitive, painful, or time-consuming testing. How Wearable Tech Can Promote Self-Efficacy One overlooked opportunity for wearables involves self-efficacy — a person’s belief in their ability to reach a specific goal. When people wear something that tracks their activity and health, they feel more inclined to improve their habits. While a medication can help people slim down, weight loss usually requires various efforts. In a 68-week clinical trial, Wegovy lowered participants’ mean body weight by 14.9% by targeting hormones responsible for appetite and food intake — a noticeable difference from the placebo’s 2.4% reduction. Notably, the loss is within the 5%–15% range recommended to improve obesity-related conditions. mean body weight by 14.9% mean body weight by 14.9% Although research shows Wegovy outperforms similar drugs, its long-term outcomes remain unproven — the 68-week clinical trial saw participants adopt healthy habits and take the drug to achieve clinically relevant body weight reduction. In other words, the self-efficacy wearables could prompt lifestyle changes, increasing the drug’s effectiveness. Research suggests wearables increase self-efficacy in weight loss trial participants by encouraging physical activity, motivating and enhancing awareness. While there’s no clear link between diet, exercise, and this technology, researchers have made some connections. wearables increase self-efficacy in weight loss wearables increase self-efficacy in weight loss Wearables could go a long way in making Wegovy more accessible to the average American seeking to shed a few pounds. Typically, people gain weight quickly after stopping these kinds of drugs, but most won’t be able to afford the $700 monthly bill. Pairing the medication with lifestyle changes could enhance its effectiveness, increasing long-term success. Integration Obstacles That Need Overcoming One of the largest obstacles drugmakers and clinical trial leaders must overcome is data accuracy. Although 24/7 at-home monitoring makes processes easier, it can also mess them up. Countless variables could affect results since participants aren’t inside a controlled environment. Wegovy isn’t supposed to be used with other semaglutide-containing products for safety reasons. This factor is simple enough to control in a lab. However, it’s easy for someone at home to pick up an over-the-counter prescription or use an herbal remedy without reading the label to check for semaglutide. with other semaglutide-containing products with other semaglutide-containing products Privacy concerns are another obstacle since wearable tech tracks excess information. While the abundance of measurements is excellent for researchers, patients might hesitate to share so much. There’s also the issue of data breaches and leaks. If the weight loss market plans to integrate wearables into health care — a sector notorious for its late adoption of technology due to several legal, moral, and regulatory hurdles — they’ll need to consider the upfront cost. Do clinical trial participants pay for the tech? Who pays when someone breaks theirs? Decision-makers should also consider long-term effectiveness. While this tech can inspire lifestyle changes, people might be unwilling to stick to their new fitness routines. Unless they ensure participants stay dedicated, it’ll look like their decreasing use correlates to diminishing efficacy. The Power of Wearable Tech for Treatment Efficacy If clinical trial leaders and medical professionals give people wearables when they hand out Wegovy, there’s a good chance they’ll enhance treatment success, leading to better long-term patient outcomes. Eventually, these improvements could lead to a more affordable drug and higher demand — a win-win for both the drugmaker and those looking to lose weight.

Wearable Tech and Its Potential to Monitor Wegovy Treatment Efficacy

There is a new preprint on , , where the authors concluded that, "GPT models perform worse than humans, on average, in solving letter string analogy tasks using the normal alphabet. Moreover, when such tasks are presented with counterfactual alphabets, these models display drops in accuracy that are not seen in humans, and the kinds of mistakes that these models make are different from the kinds of mistakes that humans make. These results imply that GPT models are still lacking the kind of abstract reasoning needed for human-like fluid intelligence." arXiv Using Counterfactual Tasks to Evaluate the Generality of Analogical Reasoning in Large Language Models Human intelligence and LLMs are not directly comparable for a few reasons: , what is the convergence between humans and LLMs? Or, what is the primary commonality between humans and LLMs? Digital. This means that what humans do on digital, that LLMs can do, is digitally delimited. First While it is clear that humans understand more than LLMs, which humans express on paper, in communications, and then on digital, LLMs are using what humans have made on digital, in a fraction of the vastness of human abilities. So, just the digital inputs and outputs of humans are comparable with LLMs. LLMs can be compared to a person learning a second language. However, the progress level should not be measured with someone who is a native speaker but with a native speaker of that language learning another language of similar difficulty. This implies that LLMs are trying to do what humans are great at in comparison with if humans were to learn machine language and communicate with it. What does it mean that, as the only non-living things, LLMs can do some of the intelligent things that humans can do, at least, on digital? It means that the similarities are not just what matters but divergence. LLMs can simply be told to make fake images, videos, or audio. They can be told to write fake information. They run the errand. They pay attention. They are aware of information from different sources. However, they have no emotional connection to anything. They show no remorse. They also have no knowledge of the consequences. They are the only non-organism that has what is parallel to a human mind, refuting the ubiquity of mind, suggested by panpsychism. The human mind has functions, and those functions have qualifiers. The collection of the qualifiers can be termed as consciousness, the super qualifier. LLMs would win over the human mind because of how good they would deliver on tasks. Many call them tools, but tools that can use language, an agent of being, to access many parts of the mind, including solving valuable problems in situations, is an elevation for LLMs. They are not like pets but like evolving cohabitants. AI Safety and Digital Memory Digital is not physical. This distinction is now important in an age where there is contamination in digital. AI can be used to find correlations in cardiology, particle physics, decipher papyrus, and so forth, but AI can also clone voices, deepfake images, videos, and generate convincing misinformation amid other vices. Some of these and other things were at least contained or a tad difficult in the past. In the physical, contaminants, like pathogens, require precautions against their sources, say water, air, forests, or others. Digital contaminants are freely able to spread with physical-representative digital, with little barriers. It will be important to note that whatever is not physical may not be as real, at times, if there is no guarantee that it is a transmission of live physical, or something extra verifiable. The internet is already unified, which, with its advantages, may not be a great thing anymore, as contamination can spread, including cyberattacks. There can be new ways to use AI as security agents, making detections of sources where harmful traffic or activities might be originating, which some are already doing. For any page on social media or the internet that a person would visit, there can be an AI reader assistant that goes ahead to interpret images, videos, audio, and stories on it. This is done by some browsers already for search results. It would be vital for social media, not just to say what is ahead while scrolling, but to blur some, if the image, video, or text would be problematic to the person's mental health, or does not have a physical representation likelihood or may be misleading. Some platforms may provide some features where, as people make posts they go through a filter, such that those who would see it will be sure of what they are seeing, as a real representation of the physical. along with digital use, where the working of memory, emotions, feelings, intelligence, and so forth, can be available as a what to consult on the side, against allowing digital results to carry a user away, before much can be done. How the human mind works, conceptually, may also be useful to go The importance of how the mind works as an attachment to digital results is to ensure that some of the effects of contaminated digital images that are sent are mitigated, with the ability to use intent to check distributions in the mind, before falling for it. Just like brain science, cognitive science, psychology, psychiatry, philosophy of mind, and the rest are driven by labels, AI is also being labeled. There are labels for different aspects of memory, like there are labels for types of emotions, feelings, and so forth, but the key importance in the human mind is how sets of impulses mechanize them, not what they are called. For AI, there are labels like emergent properties, layers, parameters, tokens, self-attention, and so forth. What will be important is to find parallels between the qualifiers of the human mind and those that are acting on digital for AI. This is different from direct comparisons of the parameters of LLMs to brain synapses. AI safety institutes may be focused on technical paths against AI risks, which are great, but parallels to the human mind, to know what AI is doing within digital, similar to how the mind qualifies functions, may be useful to set off alarms, or capability benchmarks, especially for wide distribution, thick sets of memory, sequences, and others. LLMs can interpret inputs, with their ability to summarize essays, similar to how biological senses can also interpret. This is an example of a distant parallel, to human sentience, qualifying inputs with memory functions. Research and development into the mind, theoretically, may be useful for safety, especially to develop counter agents, or counter qualifiers, against those that serve contaminations. Feature image source

AI Safety: Human Intelligence Beyond LLMs and Panpsychism

It was 1895 when Willem Einthoven, a Dutch doctor, made a discovery that would charge cardiology for the next century. Fiddling with wires and voltages, he traced the electric currents flowing through a beating heart. This became the (ECG), a device that visualizes the heart’s inner workings. first practical electrocardiogram For decades, ECG technology remained much the same, with leads patching onto the skin to record the heart’s electrical impulses. But human perception has limits. Now, AI is taking medical analysis to profound new levels, unlocking lifesaving discoveries in terabytes of data. For example, were used in a Nature research article to train deep neural networks to classify arrhythmias more accurately than cardiology specialists. 2,322,513 ECG records Let’s rewind for a moment. Heart disease has become the cause of death globally, causing around 51,000 deaths a day. Visualizing this data is striking. leading Many show no prior symptoms, the first sign being their last. But what if we could detect threats early and prevent these deaths? This is the promise of firms like and , medical companies harnessing AI to transform the humble ECG into a cutting-edge screening tool. HeartScience’s flagship product, MyoVista Wavelet ECG, incorporates sophisticated machine learning to uncover hidden heart problems. And a new partnership with Mount Sinai Hospital — home to pioneering AI research — could be the catalyst that saves lives worldwide. HeartSciences Anumana Deep Neural Networks to Save Hearts The standard 12-lead ECG has served cardiologists well, visualizing electrical signals as squiggly lines on graph paper. But it has limitations. The test often misses two major disease categories — ischemia (clogged blood vessels) and structural issues like weakened heart muscles. This is where MyoVista steps in. Its spotlight subtle ECG patterns missed by the human eye, acting as an early warning system. AI algorithms One model uses a set of 51 ECH features, 26 of which come from Continuous Wavelet Transform (CWT) frequency features—the remaining come from traditional ECG parameters, along with clinical data like age and medical history. This data makes it possible to train a DNN (deep neural network), boasting areas under the receiver operating characteristic curve (AUC) ranging between 0.80 and 0.87. In other words–these neural networks can accurately predict MACE (major adverse cardiovascular events). These models have been trained and validated on patient data from institutions like the Icahn School of Medicine at Mount Sinai and West Virginia University. Such machine learning techniques are transforming medical imaging and diagnosis across specialties. But cardiology is particularly ripe for disruption as heart disease causes ever more deaths globally. MyoVista promises a quick, non-invasive test to uncover threats in routine doctor visits. And this early detection can make all the difference. Algorithms Making Their Way Into Hospitals ECG electrodes have become ubiquitous, deployed far beyond cardiology units. General practitioners, ER doctors, and specialists of all stripes snap ECG leads onto patients. But most lack specialized expertise to maximize this tool and miss subtle signs of cardiac dysfunction. MyoVista fills in these analytical gaps with AI acting as a digital cardiologist that spots what human doctors cannot. In one validation study, MyoVista achieved 94% accuracy in prediction of LV diastolic dysfunction, as referenced in a recent . But the algorithms powering MyoVista require hefty data resources to develop — far beyond most companies’ capacity. This is where HeartSciences’ recent partnership with New York’s Mount Sinai Hospital proves game-changing. report The Icahn School of Medicine at Mount Sinai has emerged as a global leader in AI-driven cardiology research. Their elite has cultivated databases of curated heart patient records — an unparalleled asset. Now, HeartSciences has to this goldmine, including 13 Mount Sinai algorithms spanning major cardiac diseases. This agreement catalyzes their ambitions to transform ECG screening worldwide. data science team licensed exclusive access Like most AI software penetrating healthcare, HeartSciences needs to run a gauntlet of quality checks before commercializing MyoVista. Previously, novel digital diagnostic tools like theirs required lengthy De Novo FDA applications before clearance. But there’s a faster 510(k) pathway for HeartSciences’ model. This simplified process means that HeartSciences’ algorithms could soon be in your local hospital. Additionally, HeartSciences has proactively engaged the FDA multiple times to optimize MyoVista for compliance. They also recently completed patient enrollment for their pivotal validation study spanning five US research sites and over 600 subjects. This data will demonstrate MyoVista’s capabilities on a wide demographic, paving the way for approval. The Road Ahead Heart disease deaths continue rising yearly, hastened by modern lifestyles and aging populations. Better prevention through earlier detection has become imperative. HeartSciences leads a growing field of companies centered on this mission — leveraging AI’s pattern recognition to uncover what standard tests miss. The ECG is now well over a century old. But it has now outgrown the bulky monitors and needle graphs conceived by its Dutch inventor. AI is writing the next era of cardiac diagnostics with software smarts. In the right hands, this old tool may gain new power to prevent the #1 killer from claiming lives too soon.

AI-Powered Healthcare Could Save Your Life

Cardiovascular diseases are a significant problem worldwide, with millions dying annually due to these ailments. While technology has improved detection, researchers are taking the next step by employing artificial intelligence (AI) to help patients with coronary heart disease, cerebrovascular disease and other conditions. Can AI detect cardiovascular disease? Here’s how AI will affect the future of cardiovascular healthcare. Can AI Detect Cardiovascular Disease? The medical field has rapidly adopted AI to improve healthcare outcomes, with hospitals finding ways to integrate it into daily operations. Here are four recent innovations helping researchers equip this advanced technology and identify heart disease. Analyzing Genes In early 2023, researchers from Rutgers University discussing genetic analysis and how AI and machine learning (ML) can identify cardiovascular disease. The Rutgers Institute for Health used AI to examine healthy people and those with heart disease and was able to link genes to cardiovascular issues. published a study Researchers found correlations with age and gender and concluded the risk of cardiovascular disease increases with age. The Rutgers study trained its model to detect patients at high risk for heart issues. It was able to predict the association with heart failure, atrial fibrillation, and other risks based on demographics. Studying Cells Putting cells under the microscope is another effective way to identify cardiovascular disease using AI. Researchers at the University of East London have wielded AI to and determine who is more at risk. The scientists isolated miniature stem cell hearts and placed them in a petri dish. As they age, the trained model can predict which sets are more at risk and will become faulty. study cells with heart disease While tiny, the stem cells function like a living human heart with a consistent heartbeat. They have heart disease, allowing the East London researchers to train its AI as a diagnostic tool. With this information, the university’s researchers are using AI to understand its connection with aging and improve treatment for those with the disease. Prashant Ruchaya, a senior lecturer at the University of East London, has spearheaded the research and says the technology is crucial for the future of heart disease mitigation. “Cardiovascular disease remains the leading cause of mortality worldwide, and aging is a significant risk factor for its development,” Ruchaya said. “Our research aims to comprehensively explore how aging influences the mechanisms underlying heart diseases, ultimately leading to innovative approaches in mitigating the impact of cardiovascular conditions on older populations. “We are working on cutting-edge research here in developing new disease models and developing AI to predict disease earlier and to develop new treatments to treat heart disease.” Examining MRIs Another AI innovation in the United Kingdom comes from St. Bartholomew’s Hospital in London, where experts have advanced technology to find heart disease more rapidly. The researchers say they can using AI during its pilot, leading to more hospitals using the technology. The National Health Service (NHS) says it will spread the AI-assisted detector to various facilities across its system. detect heart disease in 20 seconds In this instance, the AI examines the MRI in real time, shortening the time necessary for analysis. The NHS says cardiologists need at least 13 minutes to check the MRI scans, so reducing the wait to 20 seconds would drastically reduce this gap and help healthcare providers. Other benefits of this AI system include waiting about 33% less time for results and reducing misclassifications, thus improving treatments. Inspecting Heart Dimensions Healthcare experts also use AI to detect cardiovascular diseases based on the heart’s dimensions. Researchers at Cedars-Sinai Medical Center for detecting diseases — hypertrophic cardiomyopathy and cardiac amyloidosis — you might overlook when examining the heart. Can AI detect a cardiovascular disease that’s difficult to find? have developed an AI tool The researchers trained the AI based on 34,000 ultrasound videos to distinguish various sections of the heart. Identifying the thickness of a heart’s walls and the size of its chambers helps the AI know when abnormalities occur. With this information, healthcare providers will better understand which patients are more at risk for cardiovascular diseases — especially underdiagnosed conditions like hypertrophic cardiomyopathy and cardiac amyloidosis. Implications of Using AI Detection for Heart Disease Cardiologists have opportunities for improved diagnoses and treatments as AI usage increases in healthcare. Here are some of the implications of using AI for detecting cardiovascular diseases. Early Treatment As Ruchaya said, heart disease is the leading cause of death, with the World Health Organization estimating worldwide. Heart attacks and strokes are responsible for more than 80% of deaths, and about one-third occur in people under 70 years old. Early detection of heart disease is crucial, and healthcare providers can achieve diagnoses quicker with AI. nearly 18 million annual deaths AI tools use algorithms with vast amounts of data stored inside their systems. When directed, the AI can reference this historical information to examine a patient’s heart and determine their disease risk. While cardiologists have extensive knowledge, AI and ML can be helpful companions for healthcare professionals in detecting cardiovascular diseases at early stages and increasing accuracy. Increasing Efficiency One goal for using AI is to achieve quicker diagnoses, and researchers also want to improve the accuracy to enhance treatment. Healthcare experts have begun wielding AI to increase precision when examining patients’ hearts and have seen positive results. For example, Mayo Clinic has an AI-assisted screening tool to detect heart problems without apparent symptoms. This system when finding people at risk with these conditions, improving upon other technologies at the clinic. The medical center says it has also integrated AI with Apple Watch to detect when the user has a weak heart pump. has a 93% accuracy rate Personalizing the Treatment Delivering personalized treatment for patients with cardiovascular issues is essential for care, and AI can build upon this to help cardiologists. AI-assisted technology boosts healthcare providers’ assessment of their patients by analyzing vast amounts of data and painting a comprehensive picture of their needs. With more targeted information, they can understand the nuances of their patients’ conditions and more accurately predict future outcomes. Saving Money Using AI for heart disease detection also means saving money in healthcare costs. Achieving early diagnoses means delivering effective treatments and other mitigation tactics to make the disease more manageable throughout your life. Thus, you’ll save money with fewer complications and hospital visits. This advanced technology also presents opportunities for hospitals to save money by allocating more resources to individuals at high risk for other diseases. Experts anticipate AI to be a significant cost-saving mechanism for healthcare, with an Artificial Intelligence in Healthcare study for America’s medical costs. expecting $150 billion in annual savings Research has already demonstrated AI’s potential to save money in healthcare by reducing the time necessary for cardiologists and their patients. For instance, the AI tool examining MRI scans reduces wait times by about 33% compared to previous technologies and drastically cuts the wait for doctors to check them. The Challenges of AI in Heart Disease Detection While AI has revolutionized healthcare in recent years, it presents challenges for the field that providers must deal with for adequate care. Here are some concerns you may see experts raise with AI and heart disease detection: One criticism of AI is its biases, considering where it sources data. The information may derive from outdated sources built on criticized research, making you question its legitimacy. AI developers must ensure the tools use the best information possible. Biases: While accuracy may increase with AI, there is room for improvement. These tools may accidentally provide false positives or negatives, so healthcare providers must be vigilant and scrutinize the AI’s findings. Accuracy: AI relies on large sets of sensitive medical information, making data privacy a concern for healthcare facilities. Cybercriminals often target hospitals for ransomware attacks due to security vulnerabilities and the amount of information stored in their systems. Privacy: AI Can Detect Cardiovascular Disease Accurately The future of healthcare will depend on AI as researchers develop new tools to assist providers. Some of these technologies have already demonstrated their abilities when studying heart conditions. The past few years have given you a glimpse of AI’s extraordinary potential in healthcare, and the future is bright. While more research is necessary, you’ll see cardiologists and other healthcare providers use AI to deliver more personalized care for you. Lead image by the National Cancer Institute on Unsplash

AI May Help Detect Signs of Heart Disease at an Earlier Stage

Hi All! Here is my weekly wrap-up email. If you love this content (please share it), but also… Check out my and connect with me on / . , Podcast YouTube Twitter If you love this kind of content, please subscribe to my or newsletter. weekly daily What’s in today’s newsletter? Locus of Control Idea: 10 Seconds Question: Your Story Quote: Podcast: Chad Braverman - President & Chief Operating Officer at Doc Johnson Marisol Nichols - Anti-Trafficking Activist & Actress Dr. Mark Goulston - Dying Expert, International Keynote Speaker & Author Will Ahmed - Founder and CEO of WHOOP Michael Loeb - President and CEO of Loeb NYC Latticework Thinking, The Law of Triviality & Paralysis Triggers Habits That Break You Article: Idea: Locus of Control Quick quiz: if you miss a promotion, who do you blame? The boss who didn't pick you? The system that holds people back? Bad luck or lousy timing? If you said yes to any of those, you likely lean external on the locus scale. And that orientation may secretly sabotage your success. There's a psychological concept known as locus of control. Some people view themselves as controlling life events — internal locus. Others see outside forces directing their destiny — external locus. Corporate culture and education breed external thinkers. We absorb ideas like... The company limits advancement. I'll never get ahead here. The economy tanks my savings no matter what I do. I lost my job because of ageism/sexism/racism/cronyism/nepotism. The system is rigged against people like me. An external locus is learned helplessness on steroids. It assumes you lack agency over your outcomes. The keys to the kingdom reside outside the castle walls. You cannot breach them. Meanwhile, internals interpret setbacks differently: I haven't demonstrated I'm promotion-worthy yet. I should diversify my investments more to hedge against risk. My skills aren't competitive anymore. Time to update them. The system may be biased, but I can still influence my own experience. See the difference? Internals believe they largely control what happens TO them, while externals see things happening AT them. This orientation predicts success and well-being. Internals end up healthier, wealthier, and more satisfied. They resist victim narratives, take responsibility for career growth, and persist despite obstacles. What others call luck they call the inevitable output of preparation meeting opportunity. Internals rise faster. They handle setbacks with resilience rather than resentment or resignation. Hungry to keep bettering their best. They own their destinations even when the journey depends partly on outside forces. They influence context through quality connections. Master timing and tribes. This lifeline forever pulls them forward, fate and fortune ultimately submitting to internal gravity. The external looks at the internal's progress with confusion. "How does she keep advancing despite the headwinds?" They don't recognize the mindset gap that keeps blowing doors open for one while barricading them for the other. So the internal lands the promotions. Lands the wealthy spouse. Lands more job offers and speaking gigs. Hits the targets the external calls impossible. The formula is simple: Internals bet on themselves. While externals wait for the world to give them a fair chance, internals get obsessed with self-growth. They level up skills, expand networks, and speak up when overlooked. In contrast, externals atrophy in bitterness and disbelief. Blame becomes the balm that temporarily soothes their powerlessness to control context. Occasionally, the internal orientation goes too far — the hubris of refusing to acknowledge any constraints beyond your control. But the sweet spot lives much closer to that extreme than the other. So if you catch yourself externalizing, course correct quickly. Trade in excuses for ownership. Set audacious goals immune to outside forces. Maybe the winds won't cooperate, but your mindset still controls the sails. Stop leaving your fate and fortune resting in foreign hands. Seize your locus and shift it internally. Orient yourself to play power, not the victim. You’ll be amazed at how quickly the game changes when you do. Question: 10 Seconds Will you let 10 seconds ruin your life? What if I trip walking up on stage? What if I mess up my words? What if they don't like what I have to say? We all have those voices in our heads filling us with doubt before we try something new. I call them the First Ten Seconds. They are the initial moments of discomfort, uncertainty, and fear we feel when facing a risk or challenge. And here is the key insight: Most people let those First Ten Seconds stop them from ever even trying. They talk themselves out of raising their hand for a promotion, starting a podcast, asking someone on a date, you name it. The First Ten Seconds lock them in place. But growth lives outside your comfort zone. It waits on the other side of those First Ten Seconds. So how do you push past the doubts and disbelief when you know something could significantly change your life if you just went for it? Here are three unconventional ideas: First, reframe what those First Ten Seconds mean. Recognize them as a sign you are headed in the right direction. Let those butterflies in your stomach be confirmation that whatever you are about to do matters. Next, don't think. Just start without overanalyzing. As Mark Twain once wrote, “You can't wait for inspiration. You have to go after it with a club.” Stop reviewing worst-case scenarios and talking yourself out of it. Shut off your brain and start moving forward. Surprise yourself. Finally, fall in love with failure. Understand that failure is not really failing at all. It is learning, adjusting, and wisdom for whatever comes next. The most successful people fail more because they try more. So fall in love with failure, and you remove its power over you. The truth is those First Ten Seconds never totally go away. Even after years of public speaking, I still feel them. But now, I smile. I let them energize me rather than paralyze me. I hope these unconventional ideas help you push past your next First Ten Seconds to create the change and growth you have been putting off. Stop letting a few seconds of discomfort alter the trajectory of your life. The time is now. Quote: Your Story “There is no greater agony than bearing an untold story inside you.” - Maya Angelou What vision, message, art, or creation lives inside you desperate to get out? What bold dream or unconventional idea fills your journal pages and therapy sessions and conversations with close friends? For too many people, the answer is still: I don’t know. The story they were born to share remains untold. Hidden away in the recesses of their imagination, lacking the oxygen to come alive. And this Great Resignation era proves even the best paycheck loses its shine when your work feels detached from self-expression. From purpose and meaning. We want to matter. To create an impact only our distinct talents and perspectives allow. But we hold ourselves back. Those First Ten Seconds of doubt barrage us again. What if no one cares what I have to say? What if they judge me? Laugh at me? Ignore me? And in avoiding those potential pains we create a greater one—the agony Maya Angelou described of bottling our genius, stifling our voices, and wasting our potential gifts because of fear. I know brilliant thinkers, mesmerizing storytellers, visionary leaders, gifted creators, and daring entrepreneurs who remain anonymous. They toil away at jobs misaligned with their innate talents. Hiding in bureaucracy. Craving environments where they can shine. It’s time to break from confining roles to lead and live as your fullest self at work. You have rare skills and ideas to offer if given the chance. The marketplace needs your distinct talents and innovative solutions right now. Treat your concepts as promising opportunities for growth. Test and develop the ones aligned with your passions. Then set them free to reach receptive audiences. Some initial business ideas may flop. Others are ignored by traditional executives. But ventures connected to your deeper interests will attract great partners. Bold thinkers drive progress by challenging the status quo. Take smart risks to set yourself apart rather than blindly conform. Today’s landscape allows you to directly distribute your work rather than ask gatekeepers for approval first. Seek customers excited about what you uniquely provide. Create the intrinsic reward of problem-solving and self-expression, not just extrinsic incentives. Awaken energized, with no regrets about holding yourself back. That’s how leaders evolve—by contributing fully as themselves, without compromise to fit outdated molds. The right opportunities want exactly what you bring. Go make your mark by being 100% you. Podcast: 1. Chad Braverman - President & Chief Operating Officer at Doc Johnson | | YouTube Spotify Apple Chad Braverman is a dynamic second-generation leader, steering the company with an innovative vision and robust business acumen. Taking the reins of a legacy initiated by his father, Ron Braverman, who transformed a small rubber goods firm into the esteemed Doc Johnson in 1976, Chad has been instrumental in elevating the family business to new heights. Since joining in 2004, equipped with a business degree from the University of Miami, he has masterfully blended traditional business strategies with modern creativity, significantly contributing to Doc Johnson's impressive $135.8 million revenue as of 2021. 2. Marisol Nichols - Anti-Trafficking Activist & Actress | | YouTube Spotify Apple Marisol Nichols is a renowned American actress known for her roles in TV series like "24" and "Riverdale." In addition to her acting career, Nichols is committed to philanthropy and activism. Inspired by her own life-changing experience of sexual assault at age eleven, she founded the non-profit "Foundation for a Slavery Free World" to combat sex trafficking. Actively involved with law enforcement, she collaborates with organizations like Operation Underground Railroad to address child exploitation. 3. Dr. Mark Goulston - Dying Expert, International Keynote Speaker & Author | | YouTube Spotify Apple Dr. Goulston has a unique background that combines psychiatry, neuroscience, and business. He was a professor of psychiatry at UCLA, where he taught and trained medical students and residents for over 25 years. He also served as a hostage negotiation trainer for the FBI, where he learned how to defuse high-stakes situations and influence people in crisis. He is the author of several best-selling books, including “Just Listen”, which has been translated into 28 languages and is widely regarded as the ultimate guide to effective communication. He is also the creator of Surgical Empathy, a breakthrough technique that he used to prevent hundreds of suicides during his psychiatric career. 4. Will Ahmed - Founder and CEO of WHOOP | | YouTube Spotify Apple Will Ahmed is the Founder and CEO of WHOOP, which has developed next-generation wearable technology for optimizing human performance and health. WHOOP has raised more than $400 million from investors and is currently valued at $3.6 billion, making it the most valuable standalone wearables company in the world. Will has recruited an active advisory board that consists of some of the world’s most notable cardiologists, technologists, marketers, and designers, and he is a member of the Board of Fellows of Harvard Medical School, where he provides counsel to the Dean and faculty on topics related to the strength and health of the institution. Will was named to the 2021 Sports Business Journal 40 Under 40 list as well as the 2020 Fortune 40 Under 40 Healthcare list and previously named to Forbes 30 Under 30 and Boston Business Journal’s 40 Under 40. 5. Michael Loeb - President and CEO of Loeb NYC | | YouTube Spotify Apple Michael Loeb is a serial entrepreneur and the founder and CEO of Loeb.nyc, a startup investment platform that pairs strategic and executional talent with passionate founders. Michael has a long and successful track record of building and scaling consumer marketing businesses, from magazines to online travel to pharmacy discounts. Michael started his career at Time, Inc., where he met his longtime business partner Rich Vogel. Together, they co-founded the Synapse Group, which revolutionized the magazine subscription industry with its patented Continuous Service Model. Synapse Group also incubated Priceline.com, one of the most successful online travel companies in the world. In 2006, Michael and Rich sold Synapse Group to Time Warner for over $500M. 6. Latticework Thinking, The Law of Triviality & Paralysis Triggers | | YouTube Spotify Apple In this Lessons episode, we delve into understanding everyday cognitive biases, self-imposed barriers, and the art of connecting knowledge. Article: Habits That Break You Decades of awkwardness compelled Alex Mathers (the author) to learn and understand what connects us to one another and what pushes us apart. People make judgments extremely quickly about the kind of person we are. This means there are subtle changes we all can make that impact how others see us. Here’s some of the items discussed. How do we navigate social interactions more effectively? What guides our smallest habits and behaviors? What do we invest our mental energy and attention in during conversations? How do we decide what communication patterns to change or get rid of? Read it here. Sponsors (Most Have Special Offers) Hubspot - https://hubspot.com/ Collective https://collective.com/success Kajabi - (Code: success) https://kajabi.com/success ButcherBox - (Code: success) https://butcherbox.com/success Justin Wine - / (Code: success) https://justinwine.com Green Light - https://greenlight.com/success Indeed - https://indeed.com/clary Nudge Podcast - https://www.nudgepodcast.com/podcast/ NetSuite — https://netsuite.com/scottclary/ Factor — (Code: successpod50) https://factormeals.com/successpod50 HelloFresh — (Code: 50succespod) https://hellofresh.com/50successpod ZBiotics — (Code: success) https://zbiotics.com/success My Links Success Story (Top 10 Business Podcast) Newsletter (310k Subs) Social Media Also published here

What Is the Idea of Locus of Control? Changing Your Life and Story in 10 Seconds

Generative AI is all the rage. In this modern age, the numerous applications of Generative AI in different sectors, including Business Intelligence and Data Analytics are undeniable. Companies are incorporating AI in their workflow to automate tasks, produce content, scale their profit, and do more in less time. This is a significant increase from 1% of data it accounted for a few years ago, says the same report. Generative AI is getting so widespread that by 2025, it will account for , reports Gartner. 10% of all produced data For product-based businesses, Gen AI can create personalized experiences for customers by checking historical data. Finance companies can analyze market data to propose new trading strategies. Every industry, if it involves data analysis, will benefit from the new and emerging Artificial Intelligence technologies. In this article, we’ll explore 5 main use cases of generative AI in business intelligence and data analytics and how real companies are making use of it. Let’s dive in. 1. Automate Analytics A lot of tasks in business intelligence and data analytics can be repetitive and cumbersome. While you could get them done using automated scripts, again, that requires a high level of coding knowledge. Moreover, you need to write scripts every time you need to . If you decide to change your approach when doing the analysis, you’ll need to change the script. automate an analytical task Data collection, for example, is one of the most time-consuming tasks. You need to find the right data sources, get all your Excel files together, search for the relevant information, and start your analysis. A more innovative use case of generative AI in data analytics is to automate the data extraction and analysis process. With most modern AI chatbots, you can just ask them to create automation scripts for you, fully personalized and tailored to your specific needs. When collecting data, you can ask the AI tool to filter out relevant data by inputting some parameters. You can set up an automatic notification system so that if there is any change in customer behavior or sales, you can use that data immediately and take action. This can save you time, and resources, and in turn, save you from potential revenue loss. Seek.ai is an example of a generative AI tool that can automate data extraction and analytics through AI-powered database queries. It enables you to query your database, , through trained deep-learning models that convert natural human language into precise and executable SQL code, that searches through your business data and retrieves insights. including Microsoft SQL servers This way, you can free up more time for your data science teams, while increasing the ROI of your business data. 2. Data Preparation Data preparation involves many complex steps such as data collection, discovery & profiling, cleansing, structuring, transformation, and validation. This makes the process of preparing data often complicated. When collecting data from different sources, there can be inconsistencies in the quality and accuracy of the data. Not to mention, much of this data can be unusable and irrelevant, so you have to remove them. This can take away a lot of valuable time and resources and have a bad effect on workforce productivity. In fact, data scientists spend labeling, cleaning, and organizing data, reports Crowd Flower, a user data enrichment platform. 51% of their time Imagine how much time and energy your business could save if these tasks could be solved by AI. Generative AI can take care of many such data preparation tasks as tagging, segmentation, classification, enrichment, and anonymization. Some of these models have augmented data preparation abilities. That means you can automate profile data, weed out errors and irrelevant data, and perform data cleansing, transformation, and enrichment. Many Business Intelligence vendors offer generative AI technologies with data preparation automation features. These can streamline how you as a self-service BI user can do advanced data analytics work, even without expert knowledge. The team at Snorkel leveraged Vertex AI to extract important data from complex documents. Snorkel Flow uses to programmatically label the data. These can be PDFs, unstructured text, HTML data, richly formatted documents, or conversational text. data-centric AI workflow They use Vertex AI for monitoring the model performance. In case of a data drift, they can quickly adjust parameters and regenerate training models. 3. Predictive Analysis Predictive analysis involves analyzing your current data to predict the future outcome. Data Analytics can be divided into four types, and predictive analysis deals with the future. It uses , machine learning, decision trees, cluster models, etc., for analytics purposes. statistical models For many businesses, this can be a complicated process. and coming to a future-proof conclusion based on that can be a daunting process. Keeping updated with the trends, collecting relevant data in vast amounts, feeding them to the analysis models, Even if you go through the process, that doesn’t necessarily guarantee an accurate result. On the contrary, there’s more chance of being wrong which results in big losses for companies. Generative AIs are trained on a huge amount of datasets. You can also personalize the data that you train it on, making these tools more effective in analyzing the current situation and making better future decisions. These tools can identify patterns and trends more easily than humans and traditional Data Analytics tools. You can also train and improve the accuracy of your existing predictive models using Generative AI. One way to do that is by generating synthetic data and testing your models more realistically and robustly. With such tools in hand, you can better optimize your business operations and increase efficiency. Google’s AI tool, for example, can by scanning the retina. predict cardiovascular risks The algorithm was presented with patients who suffered from the disease and those who didn’t. It made the correct prediction 70% of the time. This is slightly less than the usual testing method which involves blood tests. 4. Risk Management Evaluating risks is essential for any business to become successful. Not using the correct risk metrics, wrongfully assessing risks, selecting unreliable data sources, or incorrectly communicating the identified risks can make your company face pitfalls. Moreover, companies need to monitor risks 24/7. Traditional tools like spreadsheets are not only limited but also require constant adjustments. This takes up employee time and resources and hurts productivity. Another common problem is risk treatment. You may have identified and assessed any potential risks, but how would you manage them? While regular BI tools can help, you need to be aware of their usage in risk management. So risk management is another one of the best use cases of generative AI in business intelligence. You need to make informed decisions at the correct time to avoid risks. Generative AI can help you deal with risk management situations. AI technologies in business intelligence can locate potential business risks and generate valuable reports outlining them. For example, a financial company can use generative AI to detect any kind of fraud and financial crimes. One of the main use cases of generative AI for risk management is simulation. You can create an imaginary scenario, analyze the risks involved, and build a mitigation strategy in advance. This can also be useful for testing your current strategy and tweaking it to handle any edge cases that you probably didn’t consider. Stripe to offer a better user experience and detect fraud. took advantage of GPT-4 After testing 50 potential uses of this model in their business, they found 15 strong use cases. They improved their support customization, started answering questions about support, summarized documents, and detected any fraudulent activities. 5. Generating Visual Data Data visualization is a prominent use case of generative AI in data analytics. Business intelligence and data analytics tools can be limited when turning data into a visual representation. Some tools can only . They may not output the visual the way you want it to be. The result can’t be further personalized or customized. plot traditional charts and graphs For inexperienced eyes, reading and comprehending can prove to be hard even if it’s visual data. It can also be difficult to use advanced tools for someone who isn’t rather tech-savvy. So even with powerful tools, the end goal isn’t served. Generative AI changes how you generate visualized data, and images, and model your insights. Additionally, unlike traditional tools, you can personalize the output you receive using advanced prompts, making the visualization tailored to your needs. This benefits you as well as your customers. That’s because of the user-friendly nature of these images. On top of that, you can make the visualizations interactive to assess data in real-time. It’s easier to generate visualization and get hidden insights from them when you can input natural language prompts for them. Even if you don’t have coding experience or can’t understand data visualization, generative AI can make you comprehend them easily. Telus, a publicly traded holding company, to improve customer experience and performance analytics. used HEAVY.ai They used interactive visualization features of the tool to find important insights from customer data which enables them to create upsell opportunities. As a result, they were able to build wireless services in profitable locations just by querying, filtering, and visualizing the geo-temporal data. Conclusion Generative AI can completely change your Business Intelligence landscape. From data collection, data analysis, augmenting datasets, and addressing data scarcity, to improving model accuracy, getting reliable insights, generating visualizations, and making business decisions, just to name a few. These AI tools will help you build a business with a personalized experience for both you and your consumers. Interestingly, McKinsey reports that Generative AI has the potential of adding across the 63 business use cases. $2.6 trillion to $4.4 trillion every year By now, you should have a clear idea of the benefits and use cases of Generative AI in business intelligence and data analytics. Adopting AI to your business will not only streamline your whole workflow but also remove any human limitations you had previously. With more accurate data in your hands, you can unlock a world of new opportunities. So now is the time to stop pushing back, and start using these technologies to save more business resources and earn more revenue.

5 Main Uses of Generative AI in Business Intelligence & Data Analytics

AI has been slaying it in almost every sector. Healthcare is benefitting a lot from voice based . But this doesn’t mean we can trust them blindly. LLMs and ML Google DeepMind an AI program named AlphaMissense, which predicts the harm a missense mutation can do, when a single DNA letter is altered. The tool, which leverages data from 71 million single-letter mutations affecting human proteins, uses machine learning to “understand” the language of proteins, helping it score the risk level of genetic changes. created What AI is doing in synthetic biology is nothing short of revolutionary. Using AI, scientists are to create new unseen proteins like coding software. We can expect groundbreaking changes in not only medicine, but also in sectors like agriculture, energy, and climate. now programming cells Also, recently, researchers from Edith Cowan University software that quickly scans bone density scans to detect abdominal aortic calcification (AAC), which is a predictor of cardiovascular events and other health risks. The software processed images with 80% accuracy and could revolutionize early disease detection during routine clinical practice. developed In August, a ML model to identify autism spectrum disorder with 95% accuracy. While Stanford Medicine developed an algorithm that reviews images to determine a brain tumour’s aggressiveness, its genetic makeup, and effectiveness of surgery. “It’s sort of a decision support system for the physicians,” one researcher says. international researchers trained Also, Scientists at the Osaka Metropolitan University an AI model that accurately identifies cardiac functions and valvular heart diseases using chest radiographs. The research could supplement traditional echocardiography, improve diagnostic efficiency, and be especially useful in settings lacking specialized technicians. developed Startups in are also upping their game with AI. London-based Ultromics its AI to detect a heart condition that human eyes can often not detect. In July, physician-entrepreneurs at Israel’s started training AI to diagnose cardiac disease on a simple tablet, where the doctors don’t have to be heart experts. With a handheld scanner and tablet, non-cardiologists get a full diagnostic on 8 key heart readings. With its training data, the AI platform already has more experience than any living cardiologist, the physicians say. HealthTech trained Sheba Medical Center In September, , an Indian AI-powered grocery scoring and recommendation platform, tied up with, (Microbiome Research Pvt Ltd), a research platform in the field of gut microbiome and, , a diagnostics startup. With a shared commitment to preventive healthcare, the trio seeks to empower individuals with individualised in-depth diagnostics and convert that information into actionable real-time intelligence. Xume Microbiome.in TruDiagno This can help individuals to make informed choices based on the state of one’s gut microbiome and key diagnostic markers. Microbiome.in is the only private lab with an in-house Illumina and Nanopore (portable) Sequencer enabling unparalleled research on the role of gut microbiome, while TruDiagno adds advanced molecular diagnostic capabilities to the mix. Imagine the power of understanding our microbiome and diagnostic markers to drive actionable intelligence; where the answer is not giving up our favourite foods but simply making better choices based on what our gut and body are telling us Akshaye Jalan, Founder & CEO, Xume “We’re all unique, so how can a generic solution mired in restriction be the answer to good health? Imagine the power of understanding our microbiome and diagnostic markers to drive actionable intelligence; where the answer is not giving up our favourite foods but simply making better choices based on what our gut and body are telling us. This is the future of health and wellness and what our partnership with Microbiome.in and TruDiagno endeavours to do.” said Akshaye Jalan, Founder & CEO, Xume. In September, Oracle introduced voice-activated AI to hospitals, which will help doctors and clinicians to automate medical note-taking, order medications and view lab reviews while also more easily reviewing a patient’s medical record. This is not about going from 10 clicks to seven clicks or six clicks to five clicks. This is about completely eliminating clicks, where we can and where it makes sense. That is not a tomorrow or that’s years away. That is a tomorrow that’s here Mike Sicilia, executive vice president, industries at Oracle “We’ve completely rethought how long it takes somebody to get their job done using the system. I think that we are on the verge of completely eliminating ‘pajama time’ as a result. This is not about going from 10 clicks to seven clicks or six clicks to five clicks. This is about completely eliminating clicks, where we can and where it makes sense. That is not a tomorrow or that’s years away. That is a tomorrow that’s here,” Mike Sicilia, executive vice president, industries at Oracle told the audience at the . Oracle Health Conference But does this mean AI is your next doctor instead of a human? All the above instances are brilliant examples of AI helping humankind become better at healthcare, but they’re also being done under supervision of experts, who are human. The general online population has been turning to Dr. Google even before the Red Hot Chilli Peppers wrote . But there’s a new doctor in town, Dr. ChatGPT. , “the most recent version of ChatGPT made zero “grossly inaccurate” statements when presented with a standard set of eye complaints.” Californication According to NPR However, questions still remain about how to fit in LLMs into healthcare with similar safeguards that are applied when introducing new drugs or medical devices. This article was originally published by in Navanwita Bora Sachdev The Tech Panda.

Dr. ChatGPT vs. Dr. Google: An Assessment of AI Medical Advice

Let's learn about via these 41 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Social Impact /Learn Repo 1. Technology Is Killing Creativity Technology is killing creativity in the sense that it is making it more challenging to be creative. 2. Why Is Bitcoin the Best Secret Society Ever? The Rise of Illuminati 2.0 Why is Bitcoin the best Secret Society ever? The rise of Illuminati 2.0 and a Greater Idea behind it. 3. 5 Trends That Could Mark Social Media’s Evolution in the Next 5 Years Social media trends to watch 4. Social-as-a-Service Concept “There are only two ways to make money in business: one is to bundle; the other is unbundle.” — Jim Barksdale, former CEO and President of Netscape. 5. The Great Polarisation When you look at the trends of the last few decades, it’s difficult to miss the signs, overt and covert, of there being an increasing polarization in the business world. Even in the last decade, firms have been seeing extremely high profit rates primarily driven by the lack of competition. But this hides the underlying fragmentation of a previously solid market, which is likely to be the beginning of the next phase of exploration vs exploitation. To take a few examples: 6. Mental Health Basics: Diagnosis, Treatment, Tech Tools Last year I found I had ADD. 7. Learn How to Crack the Code of Emotional Intelligence The definition of Emotional Intelligence states that it is: ”the ability to perceive, understand and influence our own and others’ emotions, across a range of contexts, to guide our current thinking and actions, to help us to achieve our goals”. 8. Science is About Truth; Engineering is About Compromise The Fuller: A Unit of Humanitarian Invention Impact 9. Understanding "Impact Marketing" and Its Importance It's time for all the tech companies adding disability customers in their roadmap. 10. The Social Dilemma on Netflix is the Wake Up Call We've Been Waiting For I watched “The Social Dilemma”, the documentary by the Center for Humane Technology and featuring Tristan Harris, yesterday. It taught me zero new things. I learned nothing that I had not already come across during my research for my latest book Life Beyond the Touch Screen. Or that I had not even incorporated in the book. 11. Walking the Talk: How Gen Z and Social Media Are Affecting Real Social Change Generation Z, or Gen Z, coming on the heels of the Millennials, are more racially and ethnically diverse than any generation before. They are truly the first digital natives, with the smart phone around them since birth. As the saying goes, “Today, 2-year-olds can unlock an iPhone, open and close their favorite apps all by themselves. When I was that age, I was eating dirt.” In fact, this generation cannot imagine life without the iPhone and the Internet. 12. Tezos Commons Boston Chapter Pitch Competition Authentically Innovates at Babson College 13. Social Impact Using Your Heart and Mind in Tech My generation has seen a world much less forgiving. We grew up understanding the fundamentals of climate change, and saw rising sea levels and record setting temperatures all over the world. 14. Tinder for Hackathon Teams For those of you who are Tinder users or just watchful to the tech news, you should know that the App is offering the option to match with anyone in the entire world, helping people to have virtual dates during this time of pandemic crisis. 15. Digital Education: Opportunities and Challenges Coronavirus Exposed The number of students not attending schools or universities due to the outbreak of the coronavirus COVID-19 is growing rapidly. This is why governments around the world have decided to convert education to electronic form. While the Covid-19 pandemic significantly pushed the digitalization of the learning process, it also exposed major stumbling blocks in this way. 16. How can AI turn Social Media into a Smart Fundraising tool for Nonprofits? Hopeful was nominated as one of the best startups in Toronto in Startups of the Year hosted by HackerNoon. 17. What is the Engage-to-Earn Social Media Model? Taki is an “engage-to-earn” social network that combines user currency with social media elements to reward and encourage activities. 18. Social Entrepreneurship Can Help You Level Up Your Success - Here's How 19. Social Entrepreneurship Qualities You Should Harness Social entrepreneurship is an excellent way to profit and change the world at the same time, offering a business model that will be pivotal for many years ahead 20. App Gạo is a New & Digitized Charity Experience In the times of COVID-19, how do we help others and ensure that we give them the help that they need? Here's how some Vietnamese students managed to do it. 21. TikTok Ban: The Biggest Trends to Arrive from 2020's Controversial Social Network TikTok’s rise in popularity has taken the world by storm. Launched in 2017, the social network only reached world markets in the summer of 2018. Two years on and the video-based platform has amassed over two billion downloads globally. 22. Telco Professional & Charity Food Delivery Rider: A Chat About Trying To Raise 100 K In 60 Days I remote chat with Anthony Houlahan, a telco professional who has been working in Singapore for the last 18 years. He initially started on his mission on the 22nd of April to use his time after hours and on weekends to do food delivery, both to stave off isolation, and to raise funds for a good cause. He ends his donation campaign and delivery activity on 21st June. 23. The Tech Industry is a Balancing Act Between Two Value Systems: Cash and Humanity Tech is a balancing act between two value systems (cash and humanity) and it can never not be. Here's why: [24. Cryptocurrency and Philanthropy: The present! ✨👏❤️✨ 5 Reasons Why Nonprofits Love Cryptocurrency](https://hackernoon.com/cryptocurrency-and-philanthropy-the-present-5-reasons-why-nonprofits-love-cryptocurrency-do78j3110) I first of all would like to thank you for giving me trust. We have an opportunity to impact the world together. Im are glad to share an amazing article with some additions (my own). By Alex Wilson and Pat Duffy, co-founders of The Giving Block 25. We're Expanding Our Refurbished Computers Program to Meet New Demands As COVID-19 moves across the country, nearly all businesses and educational institutions have shifted to remote work and distance learning. As a result, the demand for resources to support that shift have taken a sharp upturn — particularly, the demand for laptop computers. In response, TechSoup is working with our partners to expand our inventory of laptops by adding more Condition B products to our catalog. 26. The Benefits of Taking a CPR Course Online Obtaining your cardiopulmonary resuscitation (CPR) certification online is now a very real and viable option for all people. Regardless of the reason why you’re obtaining your certification, you can either take it online, in-person, or a combination of the two, often called a “blended” course option. 27. Boris Johnson Surrenders to Marcus Rashford's Amazing Twitter Sprints Manchester striker breaks down conservative government resistance to feeding the hungry with Twitter onslaught. 28. A History Of The Fat Liberation Movement Via The Lens of Social Media Fat Liberation is a social justice movement focused on making social policy and practice more inclusive and equitable for fat people. 29. Mozilla Spring MVP Lab TLDR: Apply to be a part of the Mozilla Spring MVP Lab at mozilla.org/builders 30. How to Launch a Social Project in 6 Steps Being a socially responsible business is no longer a trend, it is a must. 31. How to Fight Global Climate Change with Web3 Maxity.io, the world’s largest charity NFT marketplace, is launching its mobile Dapp called Maxity App and a pioneering ‘Plant and Reward’ model, MAX Forest... 32. AI for Social Good: Addressing the Top 5 Challenges To realize the potential of Ai, we must address the top 5 challenges facing it: data bias, lack of access, security, scalability and impact evaluation. 33. Food Tech Stories: Food On Wheels Can Solve Last Mile Problem Urbanization is a common process in many regions of the world, including a huge proportion of people in less developed countries. Rapid urbanization can cause many problems, including poverty and food insecurity, which can make it harder for citizens to eat a healthy diet. No matter how hard policymakers are trying to promote healthy and sustainable diets, it’s still an acute problem in modern cities. 34. How Diets and Dying Related to  Demographics When we seek to understand consequences of our actions and the hidden complexity that underlies them we can make better decisions. One set of decisions that everyone participates in throughout life is choice of diet. The impact of what we consume on a daily basis is often only felt many years later — and can be an accident of birth. 35. The Precariat: A New Social Phenomenon The precariat is a class of socially unsettled people who do not have full guaranteed employment. 36. Becoming Furlonteer: Using Technology to Connect Talented Workers And Good Causes Furlonteer – the new non-profit project connecting furloughed employees with the people who need it most. 37. Food Tech Stories: How Italy Fighting with Food Waste Based on this story: Italy passes law to send unsold food to charities instead of dumpsters 38. Users to Communities: Leveraging Social Feature SDKs to Boost User Engagement In the quest to ensure user engagement, app developers should know how to develop connections beyond the transactional aspects of their user relationships. 39. How I Got an International “Custom MBA” Degree for $36,337 How I gained more for less than a fifth of the price of a top MBA 40. An Introduction to Regenerative Finance (ReFi) ReFi, or Regenerative Finance, is a new and innovative financial solution that aims to address many of the issues that traditional banking presents. I 41. Exploring Mental Health and UX Design with Jennifer Wong Jennifer Wong is the Founder of a UX design boot camp called Product Design Fam and the CEO of Empathie, an app dedicated to empowering racial minorities. Thank you for checking out the 41 most read stories about Social Impact on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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Artificial Intelligence (AI) has emerged as a transformative force, revolutionizing industries across the globe. From healthcare and finance to transportation and manufacturing, is reshaping the way businesses operate, unlocking new opportunities, and driving unprecedented growth. Understanding the profound impact of AI on industries is crucial in navigating the ever-evolving business landscape and harnessing its potential to thrive in the digital age. AI AI’s influence extends far beyond automation and efficiency gains. It empowers businesses to leverage vast amounts of data, make data-driven decisions, and uncover valuable insights that were previously untapped. By harnessing AI technologies, industries can enhance customer experiences, streamline operations, and gain a competitive edge in a rapidly evolving market. However, to truly benefit from AI’s potential, it is essential to comprehend its influence and explore the opportunities it presents. By understanding the , businesses can identify areas where AI can revolutionize their operations, improve productivity, and drive innovation. transformative power of AI In this article, we delve into the profound impact of AI on industries, examining its influence on healthcare, finance, transportation, manufacturing, and more. We explore how AI is transforming processes, driving efficiency gains, and revolutionizing customer experiences. By comprehending AI’s impact and seizing the opportunities it brings, businesses can position themselves at the forefront of the AI revolution and unlock a world of unprecedented growth and success. 1. Healthcare: The Transformative Impact of AI in the Medical Realm The healthcare industry stands to benefit immensely from the impact of Artificial Intelligence (AI). AI technologies are revolutionizing the way diagnoses are made, diseases are detected, and patients are treated, leading to improved healthcare outcomes and more efficient patient care. AI’s Role in Improving Diagnostics and Disease Detection AI plays a crucial role in improving diagnostics by analyzing medical images and data with exceptional accuracy and efficiency. can detect patterns and anomalies in medical images such as X-rays, MRIs, and CT scans, aiding in the early detection of diseases like cancer, cardiovascular conditions, and neurological disorders. By assisting healthcare professionals in diagnosing diseases at an earlier stage, AI enables timely intervention and potentially life-saving treatments. AI-powered algorithms Personalized Medicine and Treatment Plans Enabled by AI The era of personalized medicine has been ushered in by AI. With access to vast amounts of patient data and medical research, AI algorithms can identify individualized treatment options based on a patient’s genetic profile, medical history, and lifestyle factors. This enables healthcare providers to deliver tailored treatment plans, optimize drug dosages, and predict treatment outcomes with greater accuracy. By incorporating AI into the process, healthcare professionals can enhance the effectiveness and precision of medical interventions. Efficient Patient Care through AI-Driven Systems AI-driven systems are transforming patient care by streamlining administrative tasks, improving communication, and enhancing decision-making processes. Chatbots and are being used to provide personalized patient support, answer common healthcare queries, and schedule appointments, thereby reducing administrative burden and enhancing the overall patient experience. Moreover, AI-enabled predictive analytics can aid in resource allocation, patient flow management, and hospital capacity planning, optimizing operational efficiency and improving patient outcomes. virtual assistants powered by AI The healthcare industry is poised to witness tremendous advancements through AI, enabling accurate diagnostics, personalized medicine, and efficient patient care. By harnessing the power of AI, healthcare professionals can improve healthcare outcomes, enhance patient experiences, and ultimately save lives. 2. Finance: Unleashing the Power of Artificial Intelligence for Unprecedented Growth The finance industry has undergone a significant transformation with the integration of Artificial Intelligence (AI) technologies. From automating data analysis to enhancing customer experiences, AI is revolutionizing how financial institutions operate and interact with their clients. Automation of Data Analysis and Fraud Detection Using AI AI has revolutionized data analysis in the finance industry. With the ability to process vast amounts of financial data in real time, AI algorithms can quickly identify patterns, trends, and anomalies that may go unnoticed by human analysts. This enables financial institutions to make more accurate predictions, assess risks, and make informed decisions. Additionally, AI-powered fraud detection systems are employed to identify suspicious transactions and prevent fraudulent activities, protecting both financial institutions and their customers. AI-Powered Risk Assessment and Algorithmic Trading AI has proven instrumental in risk assessment and algorithmic trading. By analyzing market trends, historical data, and financial indicators, AI algorithms can generate predictive models that assess investment risks and recommend optimal trading strategies. These AI-powered systems can swiftly analyze vast amounts of data, adapt to changing market conditions, and execute trades with speed and precision, increasing the efficiency and profitability of financial operations. Enhanced Customer Experiences with AI-Driven Chatbots and Personalized Financial Services AI-driven chatbots and virtual assistants have transformed customer experiences in the finance industry. These intelligent systems can provide personalized recommendations, answer customer queries, and assist with financial planning, all in a timely and efficient manner. By leveraging AI, financial institutions can offer seamless and interactive customer support, improving satisfaction levels and fostering long-term relationships. Additionally, to suit individual needs, such as personalized investment portfolios and tailored loan options, providing customers with enhanced value and convenience. AI enables the customization of financial services The finance industry is leveraging AI to automate data analysis, detect fraud, optimize trading strategies, and enhance customer experiences. With AI’s capabilities, financial institutions are becoming more efficient, accurate, and responsive, empowering them to navigate the complexities of the financial landscape and deliver exceptional services to their clients. 3. Transportation: The Unstoppable Impact of AI on the Way We Move The transportation industry is undergoing a revolutionary transformation through the integration of Artificial Intelligence (AI) technologies. From advancements in autonomous vehicles to AI-powered navigation systems, the impact of AI is reshaping the way we travel and optimize transportation logistics. Advancements in Autonomous Vehicles and AI-Powered Navigation Systems AI is at the forefront of the development of autonomous vehicles, bringing us closer to a future where self-driving cars become commonplace. to perceive their surroundings, interpret traffic conditions, and make informed decisions in real time, ensuring safe and efficient navigation. These advancements have the potential to reduce human error, enhance road safety, and increase accessibility, leading to a more connected and convenient transportation experience. AI algorithms enable vehicles Impact of AI on Optimizing Transportation Logistics and Reducing Traffic Congestion AI is revolutionizing transportation logistics by optimizing route planning, fleet management, and supply chain operations. With AI algorithms analyzing real-time data on traffic patterns, weather conditions, and demand forecasting, logistics can be streamlined to minimize delivery time, reduce fuel consumption, and enhance overall operational efficiency. Additionally, AI-driven traffic management systems can dynamically adjust traffic flow, reducing congestion and improving the overall flow of vehicles, leading to reduced travel times and enhanced mobility. Improved Safety Measures through AI-Driven Monitoring and Collision Prevention AI is playing a pivotal role in enhancing safety measures within the transportation industry. AI-powered monitoring systems leverage real-time data and sensor inputs to detect potential hazards, monitor driver behavior, and identify risks proactively. By analyzing patterns and identifying anomalies, these AI systems can alert drivers and take preventive actions to mitigate potential accidents. Furthermore, AI-driven collision prevention systems utilize advanced sensors, computer vision, and predictive analytics to detect and respond to imminent collisions, significantly reducing the risk of accidents and enhancing overall road safety. The transportation industry is experiencing a profound impact from AI, with advancements in autonomous vehicles, optimized logistics, and improved safety measures. These developments are poised to transform the way we travel, making transportation more efficient, safer, and sustainable. As AI continues to evolve, it holds the potential to revolutionize mobility, reshape urban landscapes, and create a future of connected and intelligent transportation systems. 4. Manufacturing: Breaking Free of the 20th Century Habits The manufacturing industry is experiencing a significant impact from the integration of Artificial Intelligence (AI) technologies. AI is revolutionizing production processes, supply chain optimization, and quality control, leading to improved efficiency, reduced downtime, and enhanced product quality. AI’s Impact on Streamlining Production Processes and Supply Chain Optimization AI plays a crucial role in streamlining production processes by automating tasks, optimizing resource allocation, and improving operational efficiency. AI-powered systems can analyze real-time data from sensors, machines, and production lines to identify bottlenecks, optimize workflows, and minimize downtime. Additionally, AI algorithms can optimize supply chain management by forecasting demand, improving inventory management, and optimizing logistics, ensuring timely delivery and reducing costs. Predictive Maintenance for Improved Efficiency and Reduced Downtime AI-driven predictive maintenance systems are transforming the manufacturing industry by enabling proactive equipment monitoring and maintenance. By leveraging sensor data, historical performance, and AI algorithms, these systems can predict equipment failures before they occur. This allows manufacturers to schedule maintenance activities, prevent unexpected breakdowns, and minimize costly downtime. With AI-powered predictive maintenance, manufacturers can optimize equipment utilization, reduce maintenance costs, and improve overall operational efficiency. Quality Control and Defect Detection Using AI-Powered Systems AI is enhancing by detecting defects and ensuring product consistency. AI-powered vision systems can analyze images, detect anomalies, and identify product defects with high accuracy and speed. These systems can detect minute flaws, ensure adherence to quality standards, and minimize the risk of defective products reaching the market. By automating quality control processes with AI, manufacturers can improve product quality, enhance customer satisfaction, and reduce waste and rework. quality control in the manufacturing industry The manufacturing industry is reaping the benefits of AI with streamlined production processes, optimized supply chains, and improved quality control. AI’s impact in this industry translates into increased operational efficiency, reduced downtime, and enhanced product quality. By embracing AI technologies, manufacturers can stay competitive, meet customer demands more effectively, and drive innovation in the ever-evolving manufacturing landscape. 5. Retail: Unveiling the ‘Smart’ Revolution in Shopping The retail industry is undergoing a significant transformation with the integration of Artificial Intelligence (AI) technologies. AI is revolutionizing customer experiences, optimizing pricing strategies, and transforming inventory management in the retail sector. Personalized Marketing and Recommendation Systems Powered by AI AI-powered personalized marketing and recommendation systems are reshaping the retail industry. By analyzing vast amounts of customer data, AI algorithms can understand individual preferences, purchase history, and browsing behavior. This enables retailers to deliver targeted and personalized marketing campaigns, recommend products tailored to each customer’s interests, and enhance customer engagement. With AI, retailers can create personalized shopping experiences that cater to individual needs, increasing customer satisfaction and driving sales. Enhanced Customer Experiences through AI-Driven Chatbots and Virtual Assistants AI-driven chatbots and virtual assistants have become integral to providing seamless customer experiences in the retail industry. These intelligent systems can engage with customers in real-time, answer queries, provide product recommendations, and even assist with purchasing decisions. By leveraging natural language processing and machine learning, AI-powered chatbots and virtual assistants deliver personalized and efficient customer support, ensuring round-the-clock assistance. This enhances customer satisfaction, improves response times, and reduces the burden on customer service teams. AI’s Role in Optimizing Pricing Strategies and Inventory Management AI is revolutionizing pricing strategies and inventory management in the retail industry. AI algorithms can analyze market trends, competitor pricing, and customer demand to optimize pricing strategies dynamically. Retailers can use AI-powered pricing solutions to set optimal prices, identify sales opportunities, and maximize profit margins. Furthermore, AI-driven inventory management systems can analyze historical sales data, demand forecasts, and supply chain factors to optimize inventory levels, reducing stockouts and overstocking. This improves inventory turnover, reduces costs, and ensures product availability, leading to improved profitability. The retail industry is experiencing a profound impact from AI, with personalized marketing, enhanced customer experiences, and optimized pricing and inventory management. By leveraging AI technologies, retailers can meet evolving customer demands, improve operational efficiency, and gain a competitive edge in the dynamic retail landscape. With AI’s potential for innovation and transformation, the future of retail holds exciting possibilities for delivering personalized, seamless, and efficient shopping experiences. 6. Education: Unleashing the Cognitive Revolution of AI The with the integration of Artificial Intelligence (AI) technologies. AI is revolutionizing the way students learn, teachers teach, and educational institutions deliver knowledge. From adaptive learning platforms to improved teaching methods, AI has the potential to shape the future of education. education industry is witnessing a transformative impact AI-Driven Adaptive Learning Platforms and Personalized Assessments AI-driven adaptive learning platforms are reshaping the educational landscape by tailoring content and learning experiences to individual students’ needs. By analyzing student performance data, AI algorithms can identify knowledge gaps, provide personalized recommendations, and adapt the curriculum in real time. Additionally, AI-powered assessments can evaluate students’ progress more accurately and offer personalized feedback, enabling educators to monitor individual performance and provide targeted support. AI’s Potential to Improve Teaching Methods and Student Engagement AI holds great potential to enhance teaching methods and student engagement. AI-powered tools can automate administrative tasks, allowing teachers to focus more on personalized instruction and individualized learning plans. Furthermore, AI can facilitate interactive and immersive learning experiences through virtual reality (VR) and augmented reality (AR) technologies. AI-powered chatbots and virtual assistants can provide instant support, answer student queries, and foster continuous learning beyond the traditional classroom. Equal Access to Education through AI-Powered Educational Tools AI has the power to bridge the educational divide by providing equal access to education. AI-powered educational tools can break language barriers, enable personalized language learning, and offer translation services to non-native speakers. Additionally, AI-driven content delivery platforms can provide educational resources to remote or underserved areas with limited access to traditional educational institutions. By leveraging AI, educational institutions can promote inclusivity, reach a wider audience, and ensure that education becomes more accessible and equitable. The education industry is at the forefront of AI innovation, with adaptive learning platforms, improved teaching methods, and equal access to education. AI has the potential to revolutionize the way we learn, making education more personalized, engaging, and accessible to all. By embracing AI technologies, educational institutions can create a future of enhanced learning experiences, increased student success, and greater educational equity. Conclusion The has been nothing short of transformative. Throughout this article, we have explored how AI is revolutionizing various sectors, from healthcare and finance to transportation and manufacturing. The profound influence of AI is evident in improved diagnostics, personalized experiences, optimized processes, and enhanced decision-making across industries. impact of Artificial Intelligence (AI) on industries It is essential for businesses and individuals alike to embrace AI and adapt to its advancements to stay competitive in the ever-evolving landscape. By leveraging AI technologies, businesses can enhance efficiency, productivity, and customer satisfaction, gaining a significant edge in their respective industries. Looking ahead, the future potential of AI is boundless. Ongoing innovations continue to push the boundaries of what AI can achieve, and new applications are being discovered every day. As AI evolves, it will continue to impact industries in unprecedented ways, fueling innovation and driving economic growth. To fully capitalize on the , it is crucial to foster a culture of innovation, invest in AI research and development, and prioritize ethical considerations. Striking a balance between the power of AI and addressing societal concerns will be vital in ensuring a future where AI becomes a force for positive change. benefits of AI In conclusion, AI’s impact on industries is profound and far-reaching. By embracing AI and harnessing its potential, businesses can unlock new opportunities, drive innovation, and create a future where AI enhances our lives and transforms industries for the better. With continued advancements and ongoing innovations, AI will continue to shape industries, economies, and society as a whole. It is an exciting time to be part of the AI revolution, and the possibilities ahead are limitless. Also published . here

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Let's learn about via these 45 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Digital Health /Learn Repo 1. As Healthcare App Popularity Rises, Organizations Need to Focus on New Software One in five Americans controls their health with the help of fitness trackers or apps. During the first two quarters of 2020, there were over 1.2 billion downloads of health and fitness apps. These facts indicate that people are interested in platforms that will allow them to track vital signs, control nutrition, and remotely communicate with doctors. Before starting a healthcare software project, a medical facility should decide what type of medical platform its target audience needs. Let’s take a look at the most popular apps and options for their use. 2. AI, Blockchain, and Healthcare: The Three Musketeers Combining AI, Blockchain, with Healthcare may help solve some of the most challenging problems in the health sector today. 3. Healthcare, NFTs, and the Blockchain Can blockchain and NFTs solve long-standing problems in our healthcare industry? 4. Hacking the Future of Healthcare: Telehealth and Telemedicine A look at how telemedicine and telehealth are the future of healthcare. 5. Nanomachines: The Game Changer in Pervasive Healthcare Biological nanomachines are nano-sized tools used for the monitoring, diagnostic, and treatment of disease at the molecular scale. 6. A Guide to HIPAA Compliance in 2021 & Its Benefits Following HIPAA laws provides a higher level of safety for your corporation and its leaders. 7. The Top 6 Healthcare Software Development Companies With the Best Ratings Discover some of the top healthcare software development companies to work with and understand the crucial factors to consider when choosing the right one. 8. Can Digital Therapeutics Help in Times of Coronavirus Crisis? Medicine is taking a turn from physical to digital - by 2025, the digital therapeutics market is projected to hit $7.8 billion. The uses of digital therapeutics range wildly from alleviating symptoms of physiological and neurobehavioral symptoms to therapeutic interventions driven by software and tech to therapies to improve outcomes when combined with regular treatments. They also offer new options to those who have otherwise unmet needs, and can help reduce reliance on medication. Digital therapeutics can also be used in the treatment of diabetes, obesity, cardiovascular, central nervous, respiratory, and gastrointestinal problems. 9. "I don't want anyone to go through what I went through" - with I-Ally Founder Lucinda Koza Interview with I-Ally Founder Lucinda Koza where reveals she wants to save millennial family caregivers from a broken system 10. The Lessons of Covid-19 for a Digital Decade As we struggle with the Covid-19 pandemic, we are also learning some valuable lessons, and not only about how to handle an outbreak on this scale. We can also learn from the ‘success’ of the virus to build a new economic model that is robust enough to withstand another crisis, as well as creating a dynamic digital finance system to carry us through into the next decade and beyond. 11. Healthcare Technology Trends Accelerated By COVID-19 in 2021 Thanks to these healthcare technology trends, our medical infrastructures are evolving to fight pandemic-level viruses in the most efficient manner possible. 12. The Rapid Acceleration of Digital Health [infographic] The embracement of technology is a two-sided process and doctors need patient support in order to completely change. 13. What Do You Know About IoMT -  Internet of Medical Things: A Slogging Thread This Slack discussion by Sadia Mehmood, BitcoinPetar, Rianke Krugel, anthony watson and Utsav Jaiswal occurred in slogging's official #introductions channel, and has been edited for readability. 14. IIoT in the Healthcare Industry Can Free Up Hospital Beds The applications of IIoT in healthcare can be much more than smart sensors and smart hospitals. IIoT can help healthcare institutions in providing personalized. 15. Blockchain Technology Improves Data Authentication and Transparency in Healthcare Blockchain is the secret to trusting the data as it moves into our healthcare ecosystem. 16. How Telemedicine Serves Nursing Home Needs [Infographic] Telehealth has made the quality of care better for nursing home residents.  Learn more about how the digital health transformation is changing the game. 17. How to Avoid Being Negatively Affected By Doomsurfing Social media algorithms often show material that makes us anxious, angry, or sad because it keeps us engaged and clicking - this is known as doomsurfing. 18. HealthTech: Revolutionizing Healthcare through Technology Explore how HealthTech is revolutionizing the way we diagnose, treat, and prevent illnesses. From telemedicine to AI, learn how technology is improving patient. 19. 10 Emerging Technology Trends in Healthcare for 2023 and Beyond Want to know what healthcare technology trends will emerge in 2023 and beyond? Read on for the trends that healthcare providers and organizations will look for. 20. How Digital Health Platforms Should Secure Patient Data Now the CURES Act is Live Now that Americans theoretically have instant access to their medical records, digital health platforms must ensure they secure this data. 21. Scripps Health's System Continuously Plagues After The Weekend Cyberattack Scripps Health’s computer systems faced a ransomware attack this weekend and systems continue to plague the healthcare systems in San Diego. 22. Have You Heard? AI Can Edit Genes Now Artificial intelligence and healthcare have long been friends. That friendship has grown to include even gene-editing thanks to AI helping with CRISPR errors. 23. AI In Healthcare: A Viably Disruptive Force, Or A Pipe Dream? Read this article to learn more about AI potential in the healthcare industry. 24. An Intro to MedPaLM: ChatGPT's Healthcare-Focused "Cousin" ChatGPT for healthcare? Learn everything you need to know about MedPaLM, a new LLM developed by Google specifically for medical and clinical applications. 25. Discussing The Applications of AI Chatbots in Healthcare at the World Economic Forum The World Economic Forum is mostly known for its highly anticipated annual meeting in Davos, Switzerland — a scene of global intrigue and a convergence point for the planet’s most influential politicians, investors, activists, CEOs, and economists. 26. The Mixed Blessings of Technology for Mental Health Mental health technology is a subject of controversy. This post tends to assess the existing potential of new healthcare tech for mental health treatment, 27. A Look at the Nursing Homes of the Future [Infographic] An infographic on the future of tech and empathy that will fuel the senior care and nursing home space. 28. New Book Release For Self-Assessing Your Digital Habits Raising awareness around digital health as the world moves back to life beyond the screen 29. 7 Tips for Evaluating Healthtech Software Development Companies In this article, we’ve aggregated our best advice and insights for evaluating healthcare software development companies. 30. 5 Most Important Directions In Which Tech Industry Develops In 2021 Stay competitive within the COVID-19 landscape. Take a look at our findings on what trends will shape the IT industry in 2021. 31. A Brief Intro to 8 Ways AI Could Improve Patient Care How much data does a hospital produce each day? How much information are they capable of storing, analyzing, and sharing with physicians and patients? 32. Eye Strain Headaches: What To Do When Your Eyes and Your Head Hurt Do you suffer from headaches with pain behind and around your eyes? That's called an eyestrain headache; you can find out how to prevent them in this article. 33. Healthcare Marketing Tips in 2021 We recommend tools, approaches, and methodologies to build a competitive marketing strategy to make people fall in love with your digital health solution. 34. 6 Tips To Relieve Eye Strain You Stare At A Screen All Day Does your eyes get dry or watery while staring at a screen? Or do you experience headaches when looking at a screen? Do you feel itchiness on your eyes? 35. Is Your Technology Addiction Taking Over Life and Your Mental Wellbeing? In this article, we’ll be diving deeper into the Relevance and Risk of Smartphone and Technology Addiction in the times we live in today — during COVID-19. 36. Wearable Devices Let Patients Take the Lead on their Health Journey As the digital health wagon moves on, patients are starting to take the lead thanks to health wearables, better communication with doctors and new technology. 37. How Much Technology Is Too Much for You? 7 Tips to Help You Decide The use of technology has become an integral part of modern life. While it can have both positive and negative effects. So how much is too much? 38. The 7 Scopes of Wellness and 21 Apps to Help You Attain Them These times are hard and achieving good health may seem difficult, but it is possible to achieve your wellness goals. Find out more about wellness here. 39. The Apple Watch’s Blood Oxygen Feature Faces Racial Bias Accusations A group of people from New York filed a lawsuit with claims that the Apple Watch's blood oxygen feature doesn’t work correctly for people with darker skin. 40. BetterHelp, Cyberblade, YouTube, and Prayer Saved Me from a Panic Attack My first-ever panic attack happened while I was at a 5-star restaurant. Worse, it happened on my honeymoon. 41. 7 Healthcare Technology Trends to Watch Out for in 2022 Explore the latest technology trends that will shape the healthcare industry in 2022 and beyond. 42. Can Technology Save the Oil and Gas Industry? Digital advances are here to aid the Oil and Gas companies in transcending the limitations of traditional techniques. 43. Transformative Healthtech Ideas That Can Solve Healthcare Crisis The year 2021 was a banner year for digital health with around $57 billion invested into the sector. Telemedicine and mental health were among the verticals that received the most investment dollars. It was also the year when value-based healthcare became evidently complemented by technology, a tendency being accelerated by the pandemic. 44. How an Improved Working Relationship Between Employer and Employee Could be the Key to Cybersecurity In a lot of organizations, the focus on cybersecurity has always been on building secure infrastructure and while the idea good in theory, it may not necessarily keep all your data safe. You need to consider the impact of a good working relationship and the understanding of how people think. 45. Tech Addiction and Smartphone Dependency: Latest Science and Statistics How do we choose to have our new and rapidly evolving tools and capabilities impact our lives as individuals, organizations and as a global society? In order to make a smart choice, it is imperative that we have a good understanding of the impact digital technology already has or can have on our lives. What can we say with a degree of certainty? Thank you for checking out the 45 most read stories about Digital Health on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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