Digital Care Solutions Xealth enables healthcare teams to order digital content and services as easily as they do orders and medications today. Patients can then access these digital health prescriptions from the provider's portal, so that they can actively manage their health. CB Insights Digital Health 150, Fierce Healthcare's Fierce 15 2023, AVIA Marketplace's Top Digital Therapeutics

Xealth

- HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “ ” award, featuring the most promising and innovative companies in the Seattle startup ecosystem. Seattle, WA - May 23,2023 Startups of the Year The list, compiled by the HackerNoon team, showcases that are making significant contributions to the Seattle economy and driving innovation in their respective industries. 200+ startups https://www.youtube.com/watch?v=ZqIW54yMsNc&t=2s&embedable=true Nominations are open. You can nominate your company as the . startup of the year in Seattle here The for Startups of the Year 2023 include: nominated Startups in Seattle Xealth Diagrid Twelve Labs XetData Coda Derisk pyq Logixboard Otto Robotics Protect AI Augment AI Proxi XetData Bungee Tech InsightStudios Pipe17 Coffee Meets Bagel Symbl.ai DefenseStorm Ozette Karat Kevala Moment Veeve Observa Cakework Forum3 Hal9 MotherDuck Read SBL Spiral “We are thrilled to recognize the top startups in Seattle and celebrate their achievements,” said . “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” David Smooke, HackerNoon Founder & CEO is a community-driven voting platform that recognizes startups that are changing technology and the world for the better. Starting May 8th, 2023, the internet can nominate and vote for the best ventures in their city. The voting period will remain open until December 31, 2023, and winners will be announced in January 2024 after a comprehensive evaluation by the HackerNoon team. Startups of the Year 2023 In its , a total of 44,427 startups were nominated in 16 different regions, and the community cast 234,344 votes during a 6-month long campaign in favor of budding companies that were growing and trending across every major city in the world. The received perks from sponsors and a free from HackerNoon. previous iteration 1,382 winners tech company news page As a proponent of the open data movement, HackerNoon releases the unique social data gathered from Startups of the Year on GitHub as “ ” for valuable insights. /where-startups-trend Apart from validation from the world's greenest tech publication, all nominees relevant to their domain, region, and funding. They will also receive an and a free version of their very own on HackerNoon. These pages include business overviews (such as head count, founding year, bio, social links, and domain ranking) coupled with dynamic updates every time the company is mentioned in HackerNoon stories or relevant headlines around the web. get free interviews amazing discount package designed for their startup Tech Company News Page People can , and vote once per day per award for who they think should be Startup of the Year all the way up to December 31st. until June 8th nominate their favorite startups In addition to the award itself, winners receive exclusive interviews, an exclusive NFT from HackerNoon, and a .Tech Domain for life. About HackerNoon HackerNoon is a technology publication that aims to empower developers, entrepreneurs, and tech enthusiasts to share their knowledge and expertise with a global audience. With a readership of over 4M+ monthly visitors, HackerNoon provides a platform for startups and innovators to showcase their work and connect with a vibrant community of like-minded individuals. Did you know that companies that actively engage in blogging experience a whopping 67% increase in leads? Take advantage of HackerNoon's ' ' to kickstart your own company's blogging journey. Startups Package Startups Of The Year 2023 is sponsored by . .Tech Domains For more information about the “Startups of the Year 2023” list and the nominated companies, please visit our . FAQ page Nominations are open. You can nominate your company as the . startup of the year in Seattle here

Startups of The Year 2023: 200+ Startups Nominated in Seattle

Digital Health: LLMs for Prompt and Quality Sleep?

Tips for Setting Healthy Boundaries At Work

Surveys show that most healthcare stakeholders consider investments in insights and analytics as a priority funding nowadays. They point out that their organizations are increasingly betting on unified business intelligence (BI) solutions that help implement predictive analytics. Building such a data-driven approach in healthcare propels this domain forward, as 94% of respondents believe. They emphasized the top advantage doctors and patients can leverage from implementing healthcare BI tools and data analytics: a more personalized treatment path. Now, we do see progress in this market. For instance, the Deloitte survey found that customers are more satisfied with how fast and easy they can share their data via wearables than they were a few years ago. Nevertheless, transforming these data into valuable insights is still a perennial challenge from clinicians’ perspective, let alone acting on it promptly. I would say that data is one of the most underutilized assets in healthcare now. Storing Data Does Not Mean Benefiting From Them Many healthcare organizations lack dedicated teams or analytical tools to interpret this volume of data. Clinicians complain about being overloaded by a huge number of irrelevant records. So, only well-implemented electronic health records (EHR) systems with built-in analytical software, served by professionals, can quickly extract information with decision-making potential. Despite focusing on a data-driven approach in the majority of interviewed organizations, only 16% define themselves as mature players in this race. They can gather and analyze data from various sources and leverage findings. The rest of the healthcare institutions are struggling with different chain links of this process. Working with healthcare solutions suppliers, I see how often their customers demand customized software with advanced BI tools to not only react urgently but also use its forecast capabilities. Inhibitory Factors While the mentioned statistics show the healthcare sector has an optimistic view of using BI and DA solutions, some roadblocks stop capitalizing on this opportunity. Forty-three percent of interviewees listed disparate or incompatible systems as a top handicap healthcare organizations deal with. The bottom line is that such organizations need a solution to connect all these data storage, parse the information, and visualize ready-to-use findings. Preparing this infrastructure is a multi-step process that demands resources. It is not just about the investments. As I highlighted before, healthcare stakeholders are ready to adopt these technologies. I would say they know about this trend and would like to jump on this opportunity, but subconsciously, such projects may seem like a burden with an uncertain return on investment (ROI) still for many managers. How to Overcome Limitations In fact, healthcare management wants to know how the new technology aligns with the KPIs and helps boost performance. For example, medical organizations are waiting for more engagement from patients and a higher number of positive reviews, cost optimization, scaling, and better security. From a doctor's perspective, automating some paperwork and decreasing diagnosis time matter. A B2B vendor that provides a SaaS EHR solution would like to compete with major players and increase its market share, gain a new round of investments, meet tight deadlines and high investor expectations, or ultimately, enter new markets and even go for an IPO. In the U.S., there is a noticeable trend toward burnout and dissatisfaction among clients and doctors. Recently, the U.S. healthcare system faced its largest cyber attack. Gartner warned about such concerns last year. Such serious problems in the healthcare domain uncover big opportunities for health tech players, especially with SaaS products. The medical system needs new qualitative solutions to revolutionize its operations or thoroughly modernize the exciting ones. All you need is to show your clients how an EHR solution with BI tools will address their specific problems or help them achieve their goals. The second most common limitation I often observe in such projects is the scope of work and time frames, which is overwhelming for many stakeholders. As a micro-changing approach mature adopter, we recommend an incremental legacy modernization of your EHR system (of course, into your decision-making assistant and a business driver). How It Works In Practice We have had a client who offers EHR as a SaaS solution. Initially, they used this system for internal purposes. Later, they saw the growing demand for such software and decided to get their share of the pie. The organization faced many limitations. Their old system wasn’t scalable enough and couldn’t cope with increased users and data. Additionally, the owners were afraid of security concerns, data leaks, and damaging their reputations. The main challenge was to isolate customers’ data from each other in one environment. As a solution, we created a cloud multi-tenant architecture when different clinics’ records are operated absolutely independently. Also, cloud migration enables the client to scale the resources according to their actual use. For instance, seasonal influenza outbreaks cause higher patient activities and increased requests. The system adjusts resource consumption for such cases and scales them down after the peak periods. Moreover, the solution can predict such events. The system transforms historical data and information extracted in real-time from various databases into conclusions. Then, it automatically visualizes them on BI monitoring panels and notifies decision-makers. Hence, healthcare organizations can prepare their personnel and infrastructure in advance. A clear business strategy based on the modernized solution helped our client gain investments and government program support. By relying on our step-by-step upgrading approach, they overcame the main limitations. In Conclusion When we talk about adopting BI and data analysis in healthcare, it goes not only about technical or funding limitations. The key inhibitor we have to cope with is switching managers' business mindset and encouraging the new corporate culture. It is not enough just to have innovative tools. They won’t revolutionize your performance if they don’t have organizational leaders' support. While many companies are still implementing technologies for technologies, the most successful market players see their purposes and reach them. Also published here. Surveys show that most healthcare stakeholders consider investments in insights and analytics as a priority funding nowadays. They point out that their organizations are increasingly betting on unified business intelligence (BI) solutions that help implement predictive analytics. consider Building such a data-driven approach in healthcare propels this domain forward, as 94% of respondents believe. They emphasized the top advantage doctors and patients can leverage from implementing healthcare BI tools and data analytics : a more personalized treatment path. data analytics Now, we do see progress in this market. For instance, the Deloitte survey found that customers are more satisfied with how fast and easy they can share their data via wearables than they were a few years ago. Nevertheless, transforming these data into valuable insights is still a perennial challenge from clinicians’ perspective, let alone acting on it promptly. I would say that data is one of the most underutilized assets in healthcare now. Storing Data Does Not Mean Benefiting From Them Many healthcare organizations lack dedicated teams or analytical tools to interpret this volume of data. Clinicians complain about being overloaded by a huge number of irrelevant records. So, only well-implemented electronic health records (EHR) systems with built-in analytical software, served by professionals, can quickly extract information with decision-making potential. Despite focusing on a data-driven approach in the majority of interviewed organizations, only 16% define themselves as mature players in this race. They can gather and analyze data from various sources and leverage findings. The rest of the healthcare institutions are struggling with different chain links of this process. Working with healthcare solutions suppliers, I see how often their customers demand customized software with advanced BI tools to not only react urgently but also use its forecast capabilities. Inhibitory Factors While the mentioned statistics show the healthcare sector has an optimistic view of using BI and DA solutions, some roadblocks stop capitalizing on this opportunity. Forty-three percent of interviewees listed disparate or incompatible systems as a top handicap healthcare organizations deal with. The bottom line is that such organizations need a solution to connect all these data storage, parse the information, and visualize ready-to-use findings. Preparing this infrastructure is a multi-step process that demands resources. It is not just about the investments. As I highlighted before, healthcare stakeholders are ready to adopt these technologies. I would say they know about this trend and would like to jump on this opportunity, but subconsciously, such projects may seem like a burden with an uncertain return on investment (ROI) still for many managers. How to Overcome Limitations In fact, healthcare management wants to know how the new technology aligns with the KPIs and helps boost performance. For example, medical organizations are waiting for more engagement from patients and a higher number of positive reviews, cost optimization, scaling, and better security. From a doctor's perspective, automating some paperwork and decreasing diagnosis time matter. A B2B vendor that provides a SaaS EHR solution would like to compete with major players and increase its market share, gain a new round of investments, meet tight deadlines and high investor expectations, or ultimately, enter new markets and even go for an IPO. In the U.S., there is a noticeable trend toward burnout and dissatisfaction among clients and doctors. Recently, the U.S. healthcare system faced its largest cyber attack. Gartner warned about such concerns last year. faced warned Such serious problems in the healthcare domain uncover big opportunities for health tech players, especially with SaaS products. The medical system needs new qualitative solutions to revolutionize its operations or thoroughly modernize the exciting ones. All you need is to show your clients how an EHR solution with BI tools will address their specific problems or help them achieve their goals. The second most common limitation I often observe in such projects is the scope of work and time frames, which is overwhelming for many stakeholders. As a micro-changing approach mature adopter, we recommend an incremental legacy modernization of your EHR system (of course, into your decision-making assistant and a business driver). incremental legacy modernization How It Works In Practice We have had a client who offers EHR as a SaaS solution. Initially, they used this system for internal purposes. Later, they saw the growing demand for such software and decided to get their share of the pie. The organization faced many limitations. Their old system wasn’t scalable enough and couldn’t cope with increased users and data. Additionally, the owners were afraid of security concerns, data leaks, and damaging their reputations. The main challenge was to isolate customers’ data from each other in one environment. As a solution, we created a cloud multi-tenant architecture when different clinics’ records are operated absolutely independently. Also, cloud migration enables the client to scale the resources according to their actual use. For instance, seasonal influenza outbreaks cause higher patient activities and increased requests. The system adjusts resource consumption for such cases and scales them down after the peak periods. Moreover, the solution can predict such events. The system transforms historical data and information extracted in real-time from various databases into conclusions. Then, it automatically visualizes them on BI monitoring panels and notifies decision-makers. Hence, healthcare organizations can prepare their personnel and infrastructure in advance. A clear business strategy based on the modernized solution helped our client gain investments and government program support. By relying on our step-by-step upgrading approach, they overcame the main limitations. In Conclusion When we talk about adopting BI and data analysis in healthcare, it goes not only about technical or funding limitations. The key inhibitor we have to cope with is switching managers' business mindset and encouraging the new corporate culture. It is not enough just to have innovative tools. They won’t revolutionize your performance if they don’t have organizational leaders' support. business mindset While many companies are still implementing technologies for technologies, the most successful market players see their purposes and reach them. Also published here . here here

Business Intelligence Is So Important For Development In Healthcare: Here's Why

Overview Company: WELL3 Token ticker: $WELL Blockchain: Multichain Sector: Decentralized Physical Infrastructure Network Business Model: a DePIN and AI platform in the wellness industry (DePIN) and Decentralized Identity (DID) What does WELL3 do? WELL3 — a pioneering force reshaping health and wellness through Decentralized Physical Infrastructure Network (DePIN), Decentralized Identity (DID) and integrated AI systems. With over 1 million pre-registered users eagerly anticipating its launch, WELL3’s mission is to enhance well-being through secure, data-empowered health journeys. By leveraging DePIN, blockchain, and AI analytics, WELL3 ensures a personalized user experience that is securely authenticated, while fostering a community where millions unite in their pursuit of well-being. This approach allows users to elevate data ownership and security standards, seamlessly blending AI insights to tailor wellness solutions that align with their vision of a secure and health-conscious future. Key Milestones and Achievements The WELL3 community is vibrant and expansive. With their help, WELL3 has achieved numerous record-breaking achievements. Public Sale – In just seven days, the public sale registered a total value locked (TVL) of 15,237.2 ETH or $55M USD. Moreover, over $5 Million was raised through seed round and NFT sales.


WELL ID – After the announcement of the launch of WELL3 Ring – a pioneering wearable that converts personal wellness metrics into on-chain data, over 900,000 users have signed up for its corresponding NFT whitelist, and registered on the WELL3 ecosystem.


WELL3 NFT project – Since its launch on February 10th, 2024, Well3NFT has rapidly ascended to become the largest NFT collection on the opBNB chain, with over 324,000 owners and 8 million NFTs created by April 27, 2024.


$17M transactions have been created on WELL3.


WELL3 has established partnerships with leading entities including Animoca Brands, AWS, Samsung, The Spartan Group, Blocore, Fenbushi Capital, Newman Group, Soul Capital, XY Finance and Lumoz.


Strong strategic alliance – In pursuit of interoperability and a seamless user experience across multichain, WELL3 has formed a strategic alliance with leading chains such as Polygon, Solana, Base, Ton, Avalanche, Arbitrum, BNB Chain, Sei, Algorand, Blast and telos. This collaboration ensures that users benefit from a multichain and scalable ecosystem, enhancing the overall functionality and reach of WELL3’s offerings. Key features of WELL3 In a nutshell, WELL3 is leading a transformative approach in health data management under the DePIN framework. Data decentralization: Health data is securely processed within the DePIN system This process within Trusted Executive Environments (TEE) powered by Amazon Web Services (AWS) ensures user data remains private and secured.


Rewarding Wearables for Enhanced Wellness: WELL3 introduces an innovative line of wearables, starting with a smart ring equipped with state-of-art sensors and algorithms that provides a comprehensive view of an individual's health. Users can earn $WELL tokens through active participation and consenting to share their anonymized health data. This token-based ecosystem not only boosts user engagement by rewarding healthy behaviors and data sharing but also ensures that users have a stake in the governance and ongoing development of the platform.


Complete ownership over personal data: By leveraging WELL3's DePIN and DID technologies, users not only have complete ownership over their personal information and data, but are also safeguarded against unauthorized access, data breaches, and frauds.


Multichain: WELL3’s multichain framework spans multiple blockchain platforms including Bitcoin, Ethereum, Polygon, Solana, Blast, and TON. This broad horizontal coverage allows WELL3 to leverage the strengths of various networks, ensuring that users can interact with the WELL3 ecosystem across multiple platforms without barriers, facilitating a seamless and integrated user experience. Additionally, this approach can significantly reduce transaction costs by allowing WELL3 to choose the most efficient blockchain for specific actions.


Interoperability Across Ecosystems: Designed to seamlessly integrate across various platforms and services, WELL ID eliminates the hassle of multiple passwords and redundant verification processes. Whether it’s accessing health services, participating in wellness programs, or engaging with partner ecosystems, WELL ID provides a unified identity solution that simplifies digital interactions while enhancing security. What is $WELL token? And what does it do? The WELL token acts as both a utility and governance token within the WELL3 Network, embodying the core principles of Wellness, Health, and Governance. It powers a dynamic network of health ecosystem partners and their users, functioning seamlessly across all Layer 1 (L1) and Layer 2 (L2) chains. More specifically, the following are the use cases for the $WELL token in the WELL3 ecosystem: Supports the WELL3 Ecosystem as DePin Ecosystem Rewards, health data sharing and activity-based incentives.


As a reward for contributing to the WELL3’s decentralized network.


Identity creation, management, and KYC-as-a-service via DID.


Act as a currency for both digital and physical purchases in the WELL3 Ecosystem. Distribution of the $WELL token is as follows: Max supply: 42,000,000,000
71% of tokens to community initiatives
Lock up: The unlock schedule is spread across different timeframes to align long-term interests and promote stability. $WELL will unlock over the course of 24 months per the Token Release Schedule. Overview Overview Company : WELL3 Company Token ticker : $WELL Token ticker Blockchain : Multichain Blockchain Sector : Decentralized Physical Infrastructure Network Sector Business Model : a DePIN and AI platform in the wellness industry Business Model ( DePIN ) and Decentralized Identity ( DID ) DePIN DID What does WELL3 do? What does WELL3 do? WELL3 — a pioneering force reshaping health and wellness through Decentralized Physical Infrastructure Network (DePIN), Decentralized Identity (DID) and integrated AI systems. With over 1 million pre-registered users eagerly anticipating its launch, WELL3’s mission is to enhance well-being through secure, data-empowered health journeys. By leveraging DePIN, blockchain, and AI analytics, WELL3 ensures a personalized user experience that is securely authenticated, while fostering a community where millions unite in their pursuit of well-being. This approach allows users to elevate data ownership and security standards, seamlessly blending AI insights to tailor wellness solutions that align with their vision of a secure and health-conscious future. Key Milestones and Achievements Key Milestones and Achievements The WELL3 community is vibrant and expansive. With their help, WELL3 has achieved numerous record-breaking achievements. Public Sale – In just seven days, the public sale registered a total value locked (TVL) of 15,237.2 ETH or $55M USD. Moreover, over $5 Million was raised through seed round and NFT sales. WELL ID – After the announcement of the launch of WELL3 Ring – a pioneering wearable that converts personal wellness metrics into on-chain data, over 900,000 users have signed up for its corresponding NFT whitelist, and registered on the WELL3 ecosystem. WELL3 NFT project – Since its launch on February 10th, 2024, Well3NFT has rapidly ascended to become the largest NFT collection on the opBNB chain, with over 324,000 owners and 8 million NFTs created by April 27, 2024. $17M transactions have been created on WELL3. WELL3 has established partnerships with leading entities including Animoca Brands, AWS, Samsung, The Spartan Group, Blocore, Fenbushi Capital, Newman Group, Soul Capital, XY Finance and Lumoz. Strong strategic alliance – In pursuit of interoperability and a seamless user experience across multichain, WELL3 has formed a strategic alliance with leading chains such as Polygon, Solana, Base, Ton, Avalanche, Arbitrum, BNB Chain, Sei, Algorand, Blast and telos. This collaboration ensures that users benefit from a multichain and scalable ecosystem, enhancing the overall functionality and reach of WELL3’s offerings. Public Sale – In just seven days, the public sale registered a total value locked (TVL) of 15,237.2 ETH or $55M USD. Moreover, over $5 Million was raised through seed round and NFT sales. Public Sale – In just seven days, the public sale registered a total value locked (TVL) of 15,237.2 ETH or $55M USD. Moreover, over $5 Million was raised through seed round and NFT sales. Public Sale – WELL ID – After the announcement of the launch of WELL3 Ring – a pioneering wearable that converts personal wellness metrics into on-chain data, over 900,000 users have signed up for its corresponding NFT whitelist, and registered on the WELL3 ecosystem. WELL ID – After the announcement of the launch of WELL3 Ring – a pioneering wearable that converts personal wellness metrics into on-chain data, over 900,000 users have signed up for its corresponding NFT whitelist, and registered on the WELL3 ecosystem. WELL ID – WELL3 NFT project – Since its launch on February 10th, 2024, Well3NFT has rapidly ascended to become the largest NFT collection on the opBNB chain, with over 324,000 owners and 8 million NFTs created by April 27, 2024. WELL3 NFT project – Since its launch on February 10th, 2024, Well3NFT has rapidly ascended to become the largest NFT collection on the opBNB chain, with over 324,000 owners and 8 million NFTs created by April 27, 2024. WELL3 NFT project – $17M transactions have been created on WELL3. $17M transactions have been created on WELL3. $17M transactions WELL3 has established partnerships with leading entities including Animoca Brands, AWS, Samsung, The Spartan Group, Blocore, Fenbushi Capital, Newman Group, Soul Capital, XY Finance and Lumoz. WELL3 has established partnerships with leading entities including Animoca Brands, AWS, Samsung, The Spartan Group, Blocore, Fenbushi Capital, Newman Group, Soul Capital, XY Finance and Lumoz. WELL3 Strong strategic alliance – In pursuit of interoperability and a seamless user experience across multichain, WELL3 has formed a strategic alliance with leading chains such as Polygon, Solana, Base, Ton, Avalanche, Arbitrum, BNB Chain, Sei, Algorand, Blast and telos. This collaboration ensures that users benefit from a multichain and scalable ecosystem, enhancing the overall functionality and reach of WELL3’s offerings. Strong strategic alliance – In pursuit of interoperability and a seamless user experience across multichain, WELL3 has formed a strategic alliance with leading chains such as Polygon, Solana, Base, Ton, Avalanche, Arbitrum, BNB Chain, Sei, Algorand, Blast and telos. This collaboration ensures that users benefit from a multichain and scalable ecosystem, enhancing the overall functionality and reach of WELL3’s offerings. Strong strategic alliance Key features of WELL3 Key features of WELL3 In a nutshell, WELL3 is leading a transformative approach in health data management under the DePIN framework. Data decentralization: Health data is securely processed within the DePIN system This process within Trusted Executive Environments (TEE) powered by Amazon Web Services (AWS) ensures user data remains private and secured. Rewarding Wearables for Enhanced Wellness: WELL3 introduces an innovative line of wearables, starting with a smart ring equipped with state-of-art sensors and algorithms that provides a comprehensive view of an individual's health. Users can earn $WELL tokens through active participation and consenting to share their anonymized health data. This token-based ecosystem not only boosts user engagement by rewarding healthy behaviors and data sharing but also ensures that users have a stake in the governance and ongoing development of the platform. Complete ownership over personal data: By leveraging WELL3's DePIN and DID technologies, users not only have complete ownership over their personal information and data, but are also safeguarded against unauthorized access, data breaches, and frauds. Multichain: WELL3’s multichain framework spans multiple blockchain platforms including Bitcoin, Ethereum, Polygon, Solana, Blast, and TON. This broad horizontal coverage allows WELL3 to leverage the strengths of various networks, ensuring that users can interact with the WELL3 ecosystem across multiple platforms without barriers, facilitating a seamless and integrated user experience. Additionally, this approach can significantly reduce transaction costs by allowing WELL3 to choose the most efficient blockchain for specific actions. Interoperability Across Ecosystems: Designed to seamlessly integrate across various platforms and services, WELL ID eliminates the hassle of multiple passwords and redundant verification processes. Whether it’s accessing health services, participating in wellness programs, or engaging with partner ecosystems, WELL ID provides a unified identity solution that simplifies digital interactions while enhancing security. Data decentralization: Health data is securely processed within the DePIN system This process within Trusted Executive Environments (TEE) powered by Amazon Web Services (AWS) ensures user data remains private and secured. Data decentralization: Health data is securely processed within the DePIN system This process within Trusted Executive Environments (TEE) powered by Amazon Web Services (AWS) ensures user data remains private and secured. Data decentralization: Rewarding Wearables for Enhanced Wellness: WELL3 introduces an innovative line of wearables, starting with a smart ring equipped with state-of-art sensors and algorithms that provides a comprehensive view of an individual's health. Users can earn $WELL tokens through active participation and consenting to share their anonymized health data. This token-based ecosystem not only boosts user engagement by rewarding healthy behaviors and data sharing but also ensures that users have a stake in the governance and ongoing development of the platform. Rewarding Wearables for Enhanced Wellness: WELL3 introduces an innovative line of wearables, starting with a smart ring equipped with state-of-art sensors and algorithms that provides a comprehensive view of an individual's health. Users can earn $WELL tokens through active participation and consenting to share their anonymized health data. This token-based ecosystem not only boosts user engagement by rewarding healthy behaviors and data sharing but also ensures that users have a stake in the governance and ongoing development of the platform. Rewarding Wearables for Enhanced Wellness: Complete ownership over personal data: By leveraging WELL3's DePIN and DID technologies, users not only have complete ownership over their personal information and data, but are also safeguarded against unauthorized access, data breaches, and frauds. Complete ownership over personal data: By leveraging WELL3's DePIN and DID technologies, users not only have complete ownership over their personal information and data, but are also safeguarded against unauthorized access, data breaches, and frauds. Complete ownership over personal data: Multichain: WELL3’s multichain framework spans multiple blockchain platforms including Bitcoin, Ethereum, Polygon, Solana, Blast, and TON. This broad horizontal coverage allows WELL3 to leverage the strengths of various networks, ensuring that users can interact with the WELL3 ecosystem across multiple platforms without barriers, facilitating a seamless and integrated user experience. Additionally, this approach can significantly reduce transaction costs by allowing WELL3 to choose the most efficient blockchain for specific actions. Multichain: WELL3’s multichain framework spans multiple blockchain platforms including Bitcoin, Ethereum, Polygon, Solana, Blast, and TON. This broad horizontal coverage allows WELL3 to leverage the strengths of various networks, ensuring that users can interact with the WELL3 ecosystem across multiple platforms without barriers, facilitating a seamless and integrated user experience. Additionally, this approach can significantly reduce transaction costs by allowing WELL3 to choose the most efficient blockchain for specific actions. Multichain: Interoperability Across Ecosystems: Designed to seamlessly integrate across various platforms and services, WELL ID eliminates the hassle of multiple passwords and redundant verification processes. Whether it’s accessing health services, participating in wellness programs, or engaging with partner ecosystems, WELL ID provides a unified identity solution that simplifies digital interactions while enhancing security. Interoperability Across Ecosystems: Designed to seamlessly integrate across various platforms and services, WELL ID eliminates the hassle of multiple passwords and redundant verification processes. Whether it’s accessing health services, participating in wellness programs, or engaging with partner ecosystems, WELL ID provides a unified identity solution that simplifies digital interactions while enhancing security. Interoperability Across Ecosystems: What is $WELL token? And what does it do? What is $WELL token? And what does it do? The WELL token acts as both a utility and governance token within the WELL3 Network, embodying the core principles of Wellness, Health, and Governance. It powers a dynamic network of health ecosystem partners and their users, functioning seamlessly across all Layer 1 (L1) and Layer 2 (L2) chains. More specifically, the following are the use cases for the $WELL token in the WELL3 ecosystem: Supports the WELL3 Ecosystem as DePin Ecosystem Rewards, health data sharing and activity-based incentives. As a reward for contributing to the WELL3’s decentralized network. Identity creation, management, and KYC-as-a-service via DID. Act as a currency for both digital and physical purchases in the WELL3 Ecosystem. Supports the WELL3 Ecosystem as DePin Ecosystem Rewards, health data sharing and activity-based incentives. Supports the WELL3 Ecosystem as DePin Ecosystem Rewards, health data sharing and activity-based incentives. As a reward for contributing to the WELL3’s decentralized network. As a reward for contributing to the WELL3’s decentralized network. Identity creation, management, and KYC-as-a-service via DID. Identity creation, management, and KYC-as-a-service via DID. Act as a currency for both digital and physical purchases in the WELL3 Ecosystem. Act as a currency for both digital and physical purchases in the WELL3 Ecosystem. Distribution of the $WELL token is as follows: Max supply: 42,000,000,000 71% of tokens to community initiatives Lock up: The unlock schedule is spread across different timeframes to align long-term interests and promote stability. $WELL will unlock over the course of 24 months per the Token Release Schedule. Max supply: 42,000,000,000 71% of tokens to community initiatives Lock up: The unlock schedule is spread across different timeframes to align long-term interests and promote stability. $WELL will unlock over the course of 24 months per the Token Release Schedule . Token Release Schedule Token Release Schedule

Meet Well3, the Multichain Framework Transforming Health Data Management

মিলন Well3, মাল্টিচেন ফ্রেমওয়ার্ক ট্রান্সফর্মিং হেলথ ডেটা ম্যানেজমেন্ট

Lernen Sie Well3 kennen, das Multichain-Framework, das das Gesundheitsdatenmanagement revolutioniert

Conozca Well3, el marco multicadena que transforma la gestión de datos de salud

Découvrez Well3, le cadre multichaîne qui transforme la gestion des données de santé

मिलिए Well3 से, जो स्वास्थ्य डेटा प्रबंधन को बदलने वाला मल्टीचेन फ्रेमवर्क है

健康データ管理を変革するマルチチェーンフレームワーク Well3 をご紹介します

건강 데이터 관리를 혁신하는 멀티체인 프레임워크 Well3을 만나보세요

Conheça Well3, a estrutura Multichain que transforma o gerenciamento de dados de saúde

Встречайте Well3, мультичейн-платформу, преобразующую управление медицинскими данными

Sağlık Veri Yönetimini Dönüştüren Çok Zincirli Çerçeve Well3 ile tanışın

Gặp gỡ Well3, Khung đa chuỗi chuyển đổi quản lý dữ liệu sức khỏe

认识 Well3，改变健康数据管理的多链框架

Corporate Downfalls: Why Healthcare Is Losing The Battle Against Ransomware Attacks

Authors:
(1) TIMNIT GEBRU, Black in AI;
(2) JAMIE MORGENSTERN, University of Washington;
(3) BRIANA VECCHIONE, Cornell University;
(4) JENNIFER WORTMAN VAUGHAN, Microsoft Research;
(5) HANNA WALLACH, Microsoft Research;
(6) HAL DAUMÉ III, Microsoft Research; University of Maryland;
(7) KATE CRAWFORD, Microsoft Research. Table of Links 1 Introduction 1.1 Objectives 2 Development Process 3 Questions and Workflow 3.1 Motivation 3.2 Composition 3.3 Collection Process 3.4 Preprocessing/cleaning/labeling 3.5 Uses 3.6 Distribution 3.7 Maintenance 4 Impact and Challenges Acknowledgments and References Appendix 3.7 Maintenance As with the questions in the previous section, dataset creators should provide answers to these questions prior to distributing the dataset. The questions in this section are intended to encourage dataset creators to plan for dataset maintenance and communicate this plan to dataset consumers. • Who will be supporting/hosting/maintaining the dataset? • How can the owner/curator/manager of the dataset be contacted (e.g., email address)? • Is there an erratum? If so, please provide a link or other access point. • Will the dataset be updated (e.g., to correct labeling errors, add new instances, delete instances)? If so, please describe how often, by whom, and how updates will be communicated to dataset consumers (e.g., mailing list, GitHub)? • If the dataset relates to people, are there applicable limits on the retention of the data associated with the instances (e.g., were the individuals in question told that their data would be retained for a fixed period of time and then deleted)? If so, please describe these limits and explain how they will be enforced. • Will older versions of the dataset continue to be supported/hosted/maintained? If so, please describe how. If not, please describe how its obsolescence will be communicated to dataset consumers. • If others want to extend/augment/build on/contribute to the dataset, is there a mechanism for them to do so? If so, please provide a description. Will these contributions be validated/verified? If so, please describe how. If not, why not? Is there a process for communicating/distributing these contributions to dataset consumers? If so, please provide a description. • Any other comments? This paper is available on arxiv under CC 4.0 license. Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. Authors: Authors: (1) TIMNIT GEBRU, Black in AI; (2) JAMIE MORGENSTERN, University of Washington; (3) BRIANA VECCHIONE, Cornell University; (4) JENNIFER WORTMAN VAUGHAN, Microsoft Research; (5) HANNA WALLACH, Microsoft Research; (6) HAL DAUMÉ III, Microsoft Research; University of Maryland; (7) KATE CRAWFORD, Microsoft Research. Table of Links 1 Introduction 1 Introduction 1.1 Objectives 1.1 Objectives 2 Development Process 2 Development Process 3 Questions and Workflow 3 Questions and Workflow 3.1 Motivation 3.1 Motivation 3.2 Composition 3.2 Composition 3.3 Collection Process 3.3 Collection Process 3.4 Preprocessing/cleaning/labeling 3.4 Preprocessing/cleaning/labeling 3.5 Uses 3.5 Uses 3.6 Distribution 3.6 Distribution 3.7 Maintenance 3.7 Maintenance 4 Impact and Challenges 4 Impact and Challenges Acknowledgments and References Acknowledgments and References Appendix Appendix 3.7 Maintenance As with the questions in the previous section, dataset creators should provide answers to these questions prior to distributing the dataset. The questions in this section are intended to encourage dataset creators to plan for dataset maintenance and communicate this plan to dataset consumers. • Who will be supporting/hosting/maintaining the dataset? • Who will be supporting/hosting/maintaining the dataset? • How can the owner/curator/manager of the dataset be contacted (e.g., email address)? • How can the owner/curator/manager of the dataset be contacted (e.g., email address)? • Is there an erratum? If so, please provide a link or other access point. • Is there an erratum? • Will the dataset be updated (e.g., to correct labeling errors, add new instances, delete instances)? If so, please describe how often, by whom, and how updates will be communicated to dataset consumers (e.g., mailing list, GitHub)? • Will the dataset be updated (e.g., to correct labeling errors, add new instances, delete instances)? • If the dataset relates to people, are there applicable limits on the retention of the data associated with the instances (e.g., were the individuals in question told that their data would be retained for a fixed period of time and then deleted)? If so, please describe these limits and explain how they will be enforced. • If the dataset relates to people, are there applicable limits on the retention of the data associated with the instances (e.g., were the individuals in question told that their data would be retained for a fixed period of time and then deleted)? • Will older versions of the dataset continue to be supported/hosted/maintained? If so, please describe how. If not, please describe how its obsolescence will be communicated to dataset consumers. • Will older versions of the dataset continue to be supported/hosted/maintained? • If others want to extend/augment/build on/contribute to the dataset, is there a mechanism for them to do so? If so, please provide a description. Will these contributions be validated/verified? If so, please describe how. If not, why not? Is there a process for communicating/distributing these contributions to dataset consumers? If so, please provide a description. • If others want to extend/augment/build on/contribute to the dataset, is there a mechanism for them to do so? • Any other comments? • Any other comments? This paper is available on arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. available on arxiv

Ensuring Dataset Health: Strategies for Effective Maintenance and Support

Move over, Dr. House. There's a new medical genius in town, and it doesn't even have a stethoscope. Spike, a Silicon Valley startup that focuses on data technology and artificial intelligence (AI), just landed $3.5 million in seed funding. Its mission? To give healthcare AI, which is set to reach $148 billion by 2029, the brainpower it needs. The oversubscribed investment was co-led by Practica Capital and TheVentureCity, and a who's who of tech investors joined the party, including CEAS Investments, Plug & Play Ventures, Geek Ventures, and Axel Springer Porsche (APX). Spike is ready to supercharge product development, expand into new markets, and cement its status as a medical director in the AI health technology field. So, what's Spike's secret remedy? Its B2B solution allows developers to add AI superpowers to their healthcare apps. Spike aims to cut development time and costs to a fraction of what they used to be and connect to the data collected by hundreds of medical, wearable, and IoT devices. Think of Spike's API as a health data buffet, offering insights from over 300 sources – from your trusty Fitbit to high-tech medical devices. It's the fuel that powers Spike's AI algorithms to deliver personalized healthcare solutions smarter than a med school grad (well, almost). "Advancements in retrieval-augmented generation AI mean that LLMs are no longer taking a 'best guess,' but are now able to seek out specialized context, producing outputs that are much more accurate and considerably less prone to hallucinations," Povilas Gudzius, CEO and co-founder of Spike, said. "By incorporating this technology on top of Spike's high-quality health data API, we're enabling our clients to easily leverage these tools and improve the health of millions of end users." Spike vs. the Goliaths, with a RAG, not a Stone Sure, Google, Amazon, and Microsoft have their AI health data solutions. But let's be honest: They're like old-school doctors who still use pagers. Spike is the young, energetic upstart shaking things up. Google Cloud Healthcare API provides access to healthcare data and offers AI and machine learning tools for building healthcare applications. Amazon HealthLake is a HIPAA-eligible service that helps healthcare organizations store, transform, query, and analyze health data. And Microsoft Azure API for FHIR enables the exchange of healthcare data using the FHIR standard and offers AI tools for building healthcare applications. So while the megaliths in the room are busy managing massive cloud infrastructures, Spike is laser-focused on healthcare. They're not just aggregating data; they're curating it, ensuring it's top-notch and tailor-made for the unique needs of the medical world. And Spike uses retrieval-augmented generation (RAG), a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. RAG helps AI models avoid embarrassing "hallucination" moments by cross-checking their answers with real-world facts. Think of it as a reality check for AI, ensuring its answers are as accurate as a doctor's diagnosis. This makes AI more reliable, less prone to making things up, and ultimately, much more useful in the healthcare world. "We are utilizing health expertise networks and curated in specialized context databases in RAG AI infrastructure," Gudzius said. "RAG AI allows us to incorporate these problem-specific sources effectively and makes the LLM responses more grounded. The design of the RAG AI infrastructure and domain-expert curated medical content allows us to further innovate in developing the 'Trustworthy Health AI.'" All of this technology doesn't mean Spike can scrimp on security and privacy. Like the Big 3, it has to make strong commitments to regulatory protection, especially with searches for AI in healthcare being orders of magnitude higher than searches for AI safety. "Spike takes data security and privacy very seriously, so our infrastructure products follow strict GDRP, HIPAA, and CCPA regulatory guidelines," Gudzius said. "From the technical perspective, we are also adopting specific techniques to prioritize data privacy. For example, we have built our data access layers that provide limited control to the LLM agent while handling data acquisition logic and complying with regulatory requirements. As the quality and volume of individuals' health data grows, there's a huge need to develop and innovate regulatory-compliant techniques for private health data-to-LLM interactions like that." The Future of Healthcare: Spike's Prescription This $3.5 million isn't just pocket change; it's the catalyst for Spike's grand vision. They're not just building AI tools but trustworthy AI tools that are as reliable as your favorite family doctor (but hopefully with a better bedside manner). They're expanding their reach to include everything from electronic health records to genomics data. "We believe in a future where health data volume will grow exponentially driven by the improvements in sensor hardware," Gudzius said. "These sensors include optical, electrical, and electromechanical sensors from wearables, IoT devices, and other sources like EHRs and lab tests. We are well positioned to capture this potential because our team has extensive experience working with data acquisition and a scientific background in Health AI. Our edge is ensuring we provide the capabilities of these emerging non-diagnostic technologies to our clients in a safe and regulatory compliant way." Spike imagines a future where AI isn't just a buzzword; it's an integral part of healthcare, improving patient care and making those dreaded doctor's visits a little less dreadful. A version of this article was originally published on Dataconomy and is republished with permission. Move over, Dr. House. There's a new medical genius in town, and it doesn't even have a stethoscope. Spike , a Silicon Valley startup that focuses on data technology and artificial intelligence (AI), just landed $3.5 million in seed funding. Its mission? To give healthcare AI, which is set to reach $148 billion by 2029 , the brainpower it needs. Spike set to reach $148 billion by 2029 The oversubscribed investment was co-led by Practica Capital and TheVentureCity, and a who's who of tech investors joined the party, including CEAS Investments, Plug & Play Ventures, Geek Ventures, and Axel Springer Porsche (APX). Spike is ready to supercharge product development, expand into new markets, and cement its status as a medical director in the AI health technology field. So, what's Spike's secret remedy? Its B2B solution allows developers to add AI superpowers to their healthcare apps. Spike aims to cut development time and costs to a fraction of what they used to be and connect to the data collected by hundreds of medical, wearable, and IoT devices. Think of Spike's API as a health data buffet, offering insights from over 300 sources – from your trusty Fitbit to high-tech medical devices. It's the fuel that powers Spike's AI algorithms to deliver personalized healthcare solutions smarter than a med school grad (well, almost). "Advancements in retrieval-augmented generation AI mean that LLMs are no longer taking a 'best guess,' but are now able to seek out specialized context, producing outputs that are much more accurate and considerably less prone to hallucinations," Povilas Gudzius, CEO and co-founder of Spike, said. "By incorporating this technology on top of Spike's high-quality health data API, we're enabling our clients to easily leverage these tools and improve the health of millions of end users." Spike vs. the Goliaths, with a RAG, not a Stone Spike vs. the Goliaths, with a RAG, not a Stone Sure, Google, Amazon, and Microsoft have their AI health data solutions. But let's be honest: They're like old-school doctors who still use pagers. Spike is the young, energetic upstart shaking things up. Google Cloud Healthcare API provides access to healthcare data and offers AI and machine learning tools for building healthcare applications. Amazon HealthLake is a HIPAA-eligible service that helps healthcare organizations store, transform, query, and analyze health data. And Microsoft Azure API for FHIR enables the exchange of healthcare data using the FHIR standard and offers AI tools for building healthcare applications. So while the megaliths in the room are busy managing massive cloud infrastructures, Spike is laser-focused on healthcare. They're not just aggregating data; they're curating it, ensuring it's top-notch and tailor-made for the unique needs of the medical world. And Spike uses retrieval-augmented generation (RAG), a technique for enhancing the accuracy and reliability of generative AI models with facts fetched from external sources. RAG helps AI models avoid embarrassing "hallucination" moments by cross-checking their answers with real-world facts. Think of it as a reality check for AI, ensuring its answers are as accurate as a doctor's diagnosis. This makes AI more reliable, less prone to making things up, and ultimately, much more useful in the healthcare world. "We are utilizing health expertise networks and curated in specialized context databases in RAG AI infrastructure," Gudzius said. "RAG AI allows us to incorporate these problem-specific sources effectively and makes the LLM responses more grounded. The design of the RAG AI infrastructure and domain-expert curated medical content allows us to further innovate in developing the 'Trustworthy Health AI.'" All of this technology doesn't mean Spike can scrimp on security and privacy. Like the Big 3, it has to make strong commitments to regulatory protection, especially with searches for AI in healthcare being orders of magnitude higher than searches for AI safety . searches for AI in healthcare being orders of magnitude higher than searches for AI safety "Spike takes data security and privacy very seriously, so our infrastructure products follow strict GDRP, HIPAA, and CCPA regulatory guidelines," Gudzius said. "From the technical perspective, we are also adopting specific techniques to prioritize data privacy. For example, we have built our data access layers that provide limited control to the LLM agent while handling data acquisition logic and complying with regulatory requirements. As the quality and volume of individuals' health data grows, there's a huge need to develop and innovate regulatory-compliant techniques for private health data-to-LLM interactions like that." The Future of Healthcare: Spike's Prescription The Future of Healthcare: Spike's Prescription This $3.5 million isn't just pocket change; it's the catalyst for Spike's grand vision. They're not just building AI tools but trustworthy AI tools that are as reliable as your favorite family doctor (but hopefully with a better bedside manner). They're expanding their reach to include everything from electronic health records to genomics data. "We believe in a future where health data volume will grow exponentially driven by the improvements in sensor hardware," Gudzius said. "These sensors include optical, electrical, and electromechanical sensors from wearables, IoT devices, and other sources like EHRs and lab tests. We are well positioned to capture this potential because our team has extensive experience working with data acquisition and a scientific background in Health AI. Our edge is ensuring we provide the capabilities of these emerging non-diagnostic technologies to our clients in a safe and regulatory compliant way." Spike imagines a future where AI isn't just a buzzword; it's an integral part of healthcare, improving patient care and making those dreaded doctor's visits a little less dreadful. A version of this article was originally published on Dataconomy and is republished with permission. A version of this article was originally published on Dataconomy and is republished with permission. published on Dataconomy

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