HealthOpX cofounders are 2nd generation americans who had to help their parents navigate the healthcare system

HealthOpX

Life in 2100 According to the Most Powerful AI Model Today

"The only way to win is to learn faster than anyone else." – Eric Ries 💯  Framework // Concept // Mental Model Launching a successful product is no easy feat. The odds are stacked against you. Over 90% of startups fail due to a lack of product-market fit, running out of cash, not having the right team, and more. 😨 In a talk on “How to Succeed with a Startup,” Sam Altman shared hard-earned wisdom on building startups based on his experience investing in and founding them. 📝 As a fellow product leader, I picked out the key lessons that I believe can help PMs be more successful - whether at a scrappy early-stage venture or scaling behemoth: 🚀 Here, I will dive deeper into each area with tactical advice for how product managers can evaluate and contribute to critical dimensions that influence startup outcomes. Craft Viral, Remarkable Products 🤩 The number one predictor of startup success is intense product-market fit that delights users enough to spark organic growth. Rather than flashy tech or temporary fads, these are durable, viral products addressing underserved jobs. Traits of Remarkable Products Obsessively solve frustrations for a target user base better than alternatives. Offer dramatic improvements on key experiences rather than iterative gains. Frame a compelling, intuitive value proposition addressing feelings potential users self-identify with Tactics to Embed Survey early adopters directly to assess product intensity based on metrics like: Frequency of use Retention over various periods Loyalty vs competitor solutions Satisfaction ratings Structure beta user panels representing various user archetypes to gather broad, honest feedback. Analyze usage data for signs of successfully forming user habits and rituals. Evaluate if the minimum viable product (MVP) solves a pressing “hair on fire” priority. Expand on bright spots with enthusiasm from early testing rather than responding to every feedback item Examples Instagram offered dramatic improvements in mobile photo sharing and filters before cluttering additional capabilities. Tesla initially built a viral base of EV enthusiasts by focusing wholly on an exceptional vehicle experience rather than trying to scale mainstream too quickly. Peloton successfully formed exercise habits and community loyalty better than alternatives. Target High-Potential Markets 📈 Rather than currently observable metrics, evaluate whether the target users and use cases can support exponential expansion in demand over time. This requires accurately assessing both adoption obstacles that need to be overcome before such inflections occur and platforms reach a scale that might bend adoption upward rapidly. Traits of High-Potential Markets Technological maturation unlocking new use cases. Regulatory changes expanding access. Business model evolution overcoming pricing obstacles. Tactics to Embed Talk to investors, founders, and experts in adjacent spaces to gather signals identifying emerging trends early based on peripheral activity. Use tools like Google Trends, SEMrush, SimilarWeb, Pitchbook data, etc. to quantify changes in interest, search patterns, and funding related to market spaces over time. Extrapolate S-curves and model user segments that expand as capabilities improve and costs lower. Identify platform shifts that can accelerate niche adoption once infrastructure scales. Apply adjacencies like mobile → powering app explosion. Examples Teladoc identifies telehealth adoption constraints that would ease over time with video improvements. Mobile gaming benefits from smartphone penetration expanding casual gaming TAM. Autonomous vehicle companies mapping regulatory hurdles and cost Declines unlocking logistics categories. Distinguish Real vs Fake Trends 💎 With so many startups touting world-changing potential but failing to drive repeat user engagement, it’s critical to audit actual intrinsic interest beyond initial curiosity. Analyze both breadth of appeal and depth of habit formation over time across user cohorts. Traits of Real Trends High retention and loyalty even with simple/unfinished early products. Power users exhibit unusually intense usage behavior. Mainstream initial interest matures to a more nuanced understanding of true appeal over time as hype fades. Tactics to Embed Carefully segment users by behavior rather than aggregate statistics. Identify differentiated use cases and niche communities forming around the product. Survey & interview both casual and loyal users on what drives ongoing value. Test viral coefficient with incentive experiments (e.g., refer-a-friend rewards). Monitor engagement and retention by cohort over long periods tracking stabilization. Examples Pokémon Go sustained a strong core user base years after the hype faded. Plant-based meat alternatives prove more appealing to specific consumer segments vs suggested mass-market potential. Wearable fitness trackers shifting from novelty gadgets to practical health tools for target demographics. Recruit Evangelical Founders 🫂 Leadership playing chief product advocate to passionately communicate the vision makes a huge difference in attracting the necessary attention and resources. This starts with the executive team setting the tone, urgency, and confidence to break through the noise. Traits of Strong Evangelists Exude confidence and conviction despite uncertainty. Tailor compelling narratives to various audiences. Inspire belief in lofty visions and rally support. Tactics to Embed Coach leadership on storytelling and presence. Help craft pitches resonating with key stakeholder groups. Fill gaps by communicating passionately if leadership lacks. Examples Steve Jobs captivated audiences with legendary keynotes. Elon Musk sustained ambitious visions on multi-year timelines. Bill Gates credibly explains the future of technology. Structure Bold Incentives 💰 The most in-demand, elite startup talent has countless options today given the abundant funding environment. Competing on compensation alone is insufficient. Attract and retain top talent by framing ambitious visions tied to long-term value creation rather than optimizing for near-term profits. Anchor missions to bold outcomes advancing humanity, not just building profitable apps. Traits of Bold Visions Address complex challenges requiring exceptional teams. Mission orientated around meaningful progress. Inspire talent with a purpose beyond their role. Tactics to Embed Spotlight inspiring PURPOSE rather than PRODUCT. Craft 10-year visions tied to economic, social, and technological progress. Structure incentive alignment and leadership communications to reinforce. Examples Tesla anchoring workforce to sustainable energy innovation. SpaceX attracting top engineers to space exploration missions. Longevity-focused biotech Startups Framing Healthspan impacts. Obsess Over Team Composition 👥 Studies show startup success strongly correlates with thoughtful, balanced team composition based on skillsets, experience, and temperament. Before scaling headcount, probe the leadership traits and interpersonal chemistry within founding teams by benchmarking against past archetypes. Recruiting should then fill gaps with appropriate aptitudes and resilience required for volatile environments. Balanced Startup Archetypes : Sells the vision Hustler : Builds the product Hacker : Obsesses over user experience Hipster Shared Mindsets Optimism - Belief can figure out hard problems Ownership - Fix things rather than pointing fingers Resilience - Persistence despite turbulent conditions Tactics to Embed Evaluate the team through founder archetype lenses first Assess collective persistence qualities beyond domain expertise Carefully select the first 10-15 hires based on cultural signals Test alignment on intrinsic – mission, norms, values Examples Airbnb’s cereal team bonding screening for collaboration Tesla’s relentless problem-solving perspective Stripe’s long-term thinking and execution balance Sustain Cadence Through Wins 🏆 Maintaining consistent tempo on product and go-to-market initiatives builds confidence in leadership, staff, and investors by repeatedly proving empirical success. Cultivating urgency and delivering tangible results prevents organizations and budgets from stagnating when running lean. Value progress velocity over distant milestones. Traits of Sustained Cadences Continuous action bias toward incremental progress Rapid experimentation velocity testing assumptions Avoid distraction by postponing non-critical efforts Tactics to Embed Structure sprints and OKRs to ship value faster Impose constraints like Innovation Lockdowns to focus on innovation Celebrate small milestones frequently Continuously realign on the most critical priority Examples Amazon’s “Working Backwards” product development rigor OODA loop continuous orientation, decisions, and actions “Innovation Theater” budgeting tactics to fund progress Develop Competitive Advantages 💪 Most startups pitch feature advantages, but sustainable moats stem from systems, network effects, and scaling over time rather than temporary differentiators. Analyze marketplace dynamics and system-level resources that could compound startup strengths apart from basic product features. Traits of Compounding Advantages Switching costs imposed through integrated workflows Data barriers that improve system performance Brand affinity and community create inertia Tactics to Embed Map core interaction loops and intermediaries Model how aggregating signals may improve utility Design rituals and cultural differentiators early Examples Amazon Prime ecosystem lock-in Facebook social graph and ad targeting Apple’s brand community and product launches Design Viable Monetization 💵 Consider business model viability early and have pricing and revenue experiments ready to run at key milestones rather than solely optimizing for traction goals trusting adoption subsidies everything. Draft early financial model blueprints depicting how the startup could eventually design profitable, scalable revenue streams across various functions. Traits of Good Models Identify monetizable user values Outline milestones to test experiments Analyze analogs demonstrating sustainability Tactics to Embed Map monetizable user actions and incentives Talk to ecosystem partners about potential affiliate rev shares Survey power users on willingness to pay Examples Amazon moving from books to → third-party marketplace Instagram establishing ads after growth footing Distribute Effectively 🚀 Rather than treating it as an afterthought, evaluate probable acquisition channels and optimize conversion funnels for growth built into products from the onset. Viral models bake in incentives and social sharing hooks driving referral looping. Direct sales compensates business development partners. Traits of Effective Distribution Achieve product-channel fit matching user search behavior Incentivize organic propagation through network effects Compensate ecosystem partners Tactics to Embed Analyze analog platforms to determine the most relevant touchpoints Survey early adopters on how they discovered niche offerings A/B test positioning and packaging conversion Examples Facebook’s early college ambassador programs Slack’s developer evangelism and freemium conversion Snapchat leveraging broadcast social sharing As a product manager, focus on evaluating and contributing to progress in these areas critical to startup greatness. 💫 👇 What resonated most with you? What success factors did I miss? Share your top lessons for fellow PMs below! 📚 Book - Offers unique insights into creating value in the startup world. Zero to One by Peter Thiel 🎧  Youtube https://www.youtube.com/watch?v=0lJKucu6HJc 😎  Meme Thanks for reading The Product Channel By Sid Saladi! Subscribe for free to receive new posts and support my work. 🌟 Some of our popular newsletter editions ============================================ 🚀 Week 6 - Dynamic Ways ChatGPT Revolutionizes Product Management 🚀 and 50+ Product Management prompts 📚 Week 5 - 50+ Product Management Prompts for ChatGPT-4 👩‍💼 Week 22 - How to create a customer persona for your product 🧠 Week 24 - 14 Behavioral Psychology Concepts Product Managers Should Know 📊 Week 27 - 📈 How to Develop and Write KPIs: A Guide for Product Managers 📋 📚 Week 6 - PM 101 (Books, Articles, Podcasts and Newsletters) 💼 Week 20 - AI Tools 🤖 for Product Managers 💪 That Will Transform Your Workflow 🔄 and Boost Productivity 📈 ✍️ Week 29 - 💡 A Step-by-Step Guide to Crafting Killer 📝 Problem Statements 🔧 Week 33 - 🚀 The Ultimate Guide to Prototyping for Product Managers: Mastering the Art of Reducing Uncertainty in Product Development 🎯 🤯 Week 16 - 6 Most Effective Problem Prioritization Frameworks for Product Managers - Part 1 🤯 Week 17 - 6 Most Effective Problem Prioritization Frameworks for Product Managers - Part 2 Also published here

How to Succeed With Startups - A Guide for Product Leaders Inspired by Sam Altman

What is Decentralized Science (DeSci)?

বিকেন্দ্রীভূত বিজ্ঞান (DeSci) কি?

Was ist dezentrale Wissenschaft (DeSci)?

¿Qué es la Ciencia Descentralizada (DeSci)?

Qu'est-ce que la science décentralisée (DeSci) ?

विकेंद्रीकृत विज्ञान (DeSci) क्या है?

分散型科学 (DeSci) とは?

분산 과학(DeSci)이란 무엇입니까?

O que é Ciência Descentralizada (DeSci)?

Merkezi Olmayan Bilim (DeSci) Nedir?

Khoa học phi tập trung (DeSci) là gì?

什么是去中心化科学 (DeSci)？

Technology is making history more often than the healthcare industry. But if you consider that healthcare is saving human lives, they are equal. The greatest solution for humankind is when they work together to provide a better quality of life, making doctors’ lives easier or routine paperwork less boring. That sounds far too good, so let’s get to the practical side of it. Healthcare applications are becoming more popular with . That’s only mobile applications! To build the mHealth app, we need to choose the right tech stack. The following questions come up: 350 000 mHealth apps available in major app stores How do we set up medical features with backend technologies? How do top healthcare companies use AI in their work? What are successful tech stack examples in the industry? How to set up healthcare cybersecurity? We are simple software developers, so we are interested in technologies for health tech. It’s an interesting observation that health stacks are not entirely different from other industries' tech stacks. There are for sure more requirements for healthcare applications but the same languages, frameworks, and cloud technologies are used to build them. Let’s try to answer the questions we asked above and give tech stack examples. What Is Health Stack? Health stack is the backend and frontend technologies that healthcare companies use to manage their operations. So, except for clinical tasks, healthcare apps can do everything else. Non-clinical tasks include electronic health or medical records (EHR) systems, patient portals, telemedicine platforms, practice management software, billing and claims processing systems, analytics tools, etc. Health stack solutions have to help healthcare organizations improve their processes and improve patient care. But to choose the right tech stack for any app, we need to consider the following factors: Features and functionality of the product (in our case, medical features such as patient and doctor authorization, medical records database, etc.) Project requirements (user quantity, device support, performance time, etc.) The credibility of technologies’ open-source community Simple scalability Security considerations (in medical apps, also HIPAA compliance) Flexibility and the possibility to go beyond standard ways Size and type of your project. Every healthcare solution is unique, although the requirements for most apps will be similar. The reason is that a lot of technologies are added to the development process. Modern Healthcare Tech Stack Components It’s not a complete set of components a health app would need but those that are commonly used by digital health companies and healthcare providers. Java, Python, C#, C++, JavaScript, PHP, and HTML5. Programming Languages: The choice of specific language would depend on the functionality you need. If the app would store and analyze large amounts of data or somehow deal with artificial intelligence, it’s wise to choose Python + Java as backend technologies and Javascript as frontend technologies. Windows, macOS, Linux, and mobile Apple iOS or Google Android. Operating Systems: Here we just need to choose a trustable provider with great support. In the development process, we choose the operating system that has security features and top performance. MySQL, Oracle, PostgreSQL, Memcached, and MongoDB. Databases: To choose the right database or mix a few, seek advice from a development team. They would want to know what type of data you have, the amounts, and how often it’ll be requested. Based on that, they’ll advise the capacity of the database and the provider. Apache server and NGINX. Servers: These two are the most popular ones, but what’s important for us is that they’re HIPAA compliant. Other : tools that often come in handy in the healthcare industry GitHub, Jenkins, Selenium, Rollbar, or Bitbucket DevOps tools: such as Slack, and G Suite - for communication and management Business tools such as Google Analytics, Stripe, or Elasticsearch - for search, analytics, and payments Utilities such as Amazon S3, Amazon EC2, or DigitalOcean Cloud storage and hosting providers Now that we have the general picture of the technology stack that might be used in healthcare apps, here are practical use cases. Tech Stack Examples To be more precise, let’s see the technology stack of some apps developed at Incora. The 1st example is the service we provided to the doctor’s appointment app. used frontend technologies such as JavaScript, TypeScript, React, Antdesign, Java for the backend, and database PostgreSQL. HealthApp, with such a tech stack, allows you to make an appointment online as well as get a consultation from a doctor, nurse, or psychologist online. HealthApp The second example is different as it involved backend technologies. For an where we set the backend and created structure and functionality, we used runtime environment Node.js, also Nest Js for backend, React.js for frontend, AWS services (AWS Lambda), and database PostgreSQL. injury management system With the help of these technologies, Incora developed the management system that provides scheduling of appointments, management of “play status” of players, statistics and reports of all injured players, and emails for different events. Last but not least, the development team set up a backend for It allows the viewing of data about insulin injections, sugar levels, etc., for patients that use specific devices that do injections. patient administration service. The service was designed for doctors to manage patients and adjust treatment. The health stack included Node.js, Express.js, MySQL, React, Redux, Saga, and AWS. Medical Standards in Different Regions This paragraph is to remind you that most industries have . No matter what app you want to develop, make sure the data there (especially patients’ data) is treated the right way. standards and policies when it comes to data protection One of the most common healthcare cybersecurity issues is personal data leakage. Here are : 4 main regulations you need to meet Health Insurance Portability and Accountability Act (HIPAA) (USA). Any mobile health app that needs to comply with HIPAA. Only personal health apps are an exception. deals with protected health information (PHI) Personal Information Protection and Electronic Documents Act (PIPEDA) (Canada). The act sets rules to regulate any personal data usage and sharing with third parties. General Data Protection Regulation (GDPR) (EU). This regulation says ; any information that might identify a person, a name, email, an IP address, and so on. how businesses can and cannot use personal data Data Protection Act (DPA) (UK). It’s similar to GDPR in terms of rules on using and storing personal data. The technologies that we mentioned in the article are well-known and meet the above regulations. However, be sure to check it as the consequences are unpleasant, to say the least. Sum Up So, let’s rewind. We've defined what a health stack is, and what factors to consider when choosing one. Also, we made a list of commonly used technology stacks and tools in the healthcare industry. Furthermore, the tech stack examples were described to have a full picture of app functionality. And finally, we were reminded about healthcare app development standards that are a must nowadays. To save the world, save yourself from bureaucracy, and write us to handle both tech stack and standards.

What Tech Stack do Healthcare Companies Use?

A Step-By-Step Guide to Unit Testing for Express API

Python for Data Science: How to Scrape Website Data via the Internet's Top 300 APIs

Do’s and Don’t’s of Using Hashtags to Be the Real Game Changer of Social Media Marketing. Who doesn’t want hundreds of followers and thousands ‘likes’ and ‘comments’ on a social media post? With the advent of social media, the face of marketing is changing every day. People have to cope up with the new trends in order to be a part of this rat race. Did you notice that hashtags are taking over social media all over? The most unused and forgotten character on your keyboard has become the real game-changer in the world of ’ ‘social media marketing. Sites like , , , have made hashtag their best friend to organize content and make it more engaging for the people. According to research conducted by ‘BuddyMedia’ one single hashtag has the power to increase readers’ engagement by 100%. Unbelievable, Right? Instagram Twitter Facebook Tumblr However, there are still a lot of social media marketers who either do not know the new trend or have failed to nail it properly. Being unaware of the proper usage of this hack, they are unable to build up a good user base and engage them with their creative contents. While the power of the hashtag is undeniable, using it improperly is not going to help you in any way.Here are some essential Do’s and Don’ts of hashtag use in your social media marketing and bring potential customers. So are you ready to boost your business? Read on! The way to effective hashtags- Do’s of hashtag usage If you think that putting hashtags with every word of your post is the best way, you are utterly wrong. The primary purpose of this little character is to organize the content and help customers find it easily.Thus, the primary way to do it is to put a hashtag before the words that are directly connected to the search words. 1.      Know the perfect words: For example, if you have written content on simple beauty hacks, you need to put hashtags before the word that are directly connected to the content. Your customer might search like , , etc. Now, if you put a hashtag before words like , your content will not be relatable anymore. #beautyhacks #skinproblems #glowingskin #properdiet #healthyphysique Hashtags are much focused and to-the-point. Therefore, you have to hit the bull’s eye tactfully to get the desired result. . 2 Test your content Marketing is all about experiment and tests. Before putting hashtags in your social media contents and posts, you need to test the platform you intend to use. It is essential to understand what relates perfectly to your customers. You must do proper research before uploading a post. Look for the most useful words before you give the final call. After all, perfection matters! Targeting customers is the most challenging thing in marketing. You need to understand the vast market and target your customers in a specific market base. When you get to know the preferences of your customers, testing will become more comfortable for you. 3.      Be creative with your hashtags You should remember that using hashtags is the way to showcase your creative mind. It is not necessary to mention your brand name in your hashtags. You can include a lot of popular hashtags to highlight your content and increase the accessibility of it. For example, if you are an e-retailer for footwear, you can go with the popular hashtag This is indeed a smart move to draw the attention of all shoe aficionados instantly. #tuesdayshoesday. According to the experts of sitespower, the more creative you will be with your hashtags, the better engagement rates you can ensure. So, what are you waiting for? Put on your thinking cap and get ready to bring in more customers. 4.      Do make it simple At the end of the day, hashtags are promotion and aim to enhance the business. Hence, there is no point of making your hashtags difficult that users are unable to comprehend and have no clues about them. You can create and use hashtags which your readers can also use in their posts. A food chain business first started the hashtag or . Now, the hashtag has become so popular that people used these on their own posts. #foodporn #foosgasm Instagram So, simple keywords with an essence of creativity are the key to success. 5.      Streamline your hashtags for social media Finally, you need to use hashtags according to the need of the social media platform you use. Twitter requires a formal tone for the hashtags that carry a purposeful message. On the other hand, Instagram posts are full of unique and creative hashtags. You can break the mould and go for experimenting if you want. Make sure to transform your hashtag in a successful call to action. Encourage or even compel your customers to share the posts as much as possible. Drive your business to a new level of success by utilizing hashtags to its best. Get over the cringe-worthy way—Don’t of hashtags usage 1.      Don’t pack your posts with too many hashtags This is indeed surprising that posts with a lesser number of hashtags have more share and popularity than others. It is wise to use three hashtags per post. Over stuffing the post with lots of hashtags can ruin the post and cannot assure engagement of the customers. Enlisting your post under a lot of hashtags can make them all useless. Use trendy and worthy hashtags in your post is the cleverest way to keep your readers stick to your post. 2.      Don’t go for ALL CAPS hashtag Post with all CAPS hashtag can turn off the ‘interest point’ of your content. DM or emails with excessive capitals can instantly make you irritated. As you know, hashtags are the way to interact with the target audience. You would not want your readers to scroll down without even noticing your post. Thus, avoid using ALL CAPS unless you use acronyms like , , etc. #WHO #NASA, #LOL 3.      Don't make your hashtag way too long A lot of social media marketers make this mistake and fail to win the war. Faculties of marketing associated with suggest keeping your hashtags small and catchy. Every time you try to come up with new hashtags for promoting your business, keep in mind the character limitation of Twitter posts. It is best to chop off long sentences and use simple and short hashtags. Otherwise, your readers can get distracted. sitespower.com 4.      Do not ever punctuate your hashtag In the case of a hashtag, avoiding punctuation is the best. You can use an occasional underscore is alright; anything more than this can be hashtag heresy. Punctuation can break the hashtag and make it look incomplete. Wrapping it up If you are a budding social media marketer, these do’s and don’t’s suggestions can come real handy. Follow the rules discussed in this post and be the inspiration of other social media marketers. Promote your brand by using the best way of hashtags. If you find it too difficult to do it on your own, a proper course can help you learn the essential techniques of marketing. You can opt for a social media marketing course in to learn from the basic. Good luck for your brand promotion, . sitespower.com #morepowertoyou

Do’s and Don’ts of Using Hashtags to Be the Real Game Changer of Social Media Marketing

Deep Aging: Scientists Say AI Is Getting Better at Predicting Your True Age Researchers say AI is getting better at guessing a person’s most important age — their biological age. You’ve heard that saying, “age is just a number.” It turns out that there’s a lot of truth to it. And, as the saying suggests, that chronological number many of us try to avoid mentioning on our birthdays is really just a number — and far less relevant than we assume. The real age we should focus on is our biological age, which is influenced by factors as diverse as genes, lifestyle, behavior and environment. Scientists say that this age — not the number that gets you into bars at 21, or lets you apply for Social Security at 62 — more closely predicts our lifespan and healthspan and is, therefore, a more accurate reflection of our true age. But, so far, scientists have found determining a person’s biological age to be extremely difficult, if not impossible. Now, a team of scientists report that the accurate prediction of biological age is becoming more feasible, thanks to artificial intelligence and new, vast publicly available datasets. The researchers summarized the current work on deep aging clocks in a recent issue of . Trends in Pharmacological Sciences According to Alex Zhavoronkov, Ph.D, founder and CEO of , people are good at using images, videos, voice and even smell to guess another person’s age. But, AI can guess ages even more accurately, he said in . Insilico Medicine a news release “Deep neural networks can do it better and we can now interpret what factors are most important,” said Zhavoronokov. “Very often when someone looks older than their chronological age, they are sick. A trained doctor can guess the health status of a patient just by looking at him or her. At Insilico we developed a broad range of deep biomarkers of aging that can be used by the pharmaceutical and insurance companies, as well as by the longevity biotechnology community. In this paper we describe the recent progress in this emerging field and outline a range of non-obvious applications.” The researchers suggest that there’s not just one indicator — or biomarker — that can tip off a person’s biological age, but a combination of these different predictors. AI is suited for this task because it is adept at sorting through all the available data and determining the right combination of factors. Accurately estimating biological ages won’t just be a cool trick for AI systems to perform at birthday parties, either. The researchers said that identifying the predictors of aging could help scientists better understand the aging process and reveal keys to healthy aging. Pharmaceutical and insurance companies, as well as medical and longevity industries, would all be keenly interested in that trend. “Deep biomarkers of aging developed utilizing a variety of data types of aging are rapidly advancing the longevity biotechnology industry. Using biomarkers of aging to improve human health, prevent age-associated diseases and extend healthy life span is now facilitated by the fast-growing capacity of data acquisition, and recent advances in AI. They hold a great potential for changing not only aging research, but healthcare in general,” said Polina Mamoshina, senior scientist at , in the news release. Insilico Medicine The researchers predict that AI and aging research will accelerate in the future and note that acceleration is being driven by the increasing number of people entering this field — from universities to corporations — as well as the number of funding sources adding money to those organizations.

Deep Aging: Scientists Say AI Is Getting Better at Predicting Your True Age

HEALTHOPX

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HEALTHOPX

healthopx.com

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Since n.d.

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