📌 1 DAY LEFT before ConV2X hits Cambridge, MA. Healthcare’s challenges won't be solved in silos. On September 24–25, fifty+ multidisciplinary leaders will examine what's moving healthcare and life sciences forward: • Scaling generative and agentic AI • Cybersecurity and data integrity • Clinical research transformation • Digital assets, tokenization and new economic models • AI governance, standards and implementation • Blockchain and decentralized infrastructure • The technologies that will scale—and those that will not Candid discussion under Chatham House Rule REAL TALK | REAL CASES | MORE CONNECTIONS 📷Register NOW at conv2xsymposium.com/shop #HealthcareInnovation #LifeSciences #AgenticAI #Blockchain #ClinicalResearch #Cybersecurity #clinicians #patientadvocates #platformarchitecture #HealthData #DigitalHealth #Boston @IEEEorg @MassBio @PhRMA @coinbase @NEJM_AI

Final Call and BLAST OFF! Grab your seat before it goes SRO!!! REGISTER NOW: conv2xsymposium.com/shop/ #decentralizedhealth #healthAI #infrastructure #lifescience

➡️ FINAL SEATING: REAL TALK. REAL CONCEPTS. REAL CASES. MORE CONNECTIONS. conv2xsymposium.com/shop/ Obtain real world intelligence to apply to strategy, implementation, and investment. The Foundry | Cambridge, MA | Chatham House Rule #Cybersecurity #Blockchain #decentralizedhealth #PrecisionHealth #AgenticAI #Genomics #DigitalHealth #HealthTech #HealthcareInnovation #CambridgeMA #Healthcare #LifeSciences #AIinfrastructure #privacyandidentity #digitaltrust

Just a few days left and BLAST OFF! Grab your seat before it goes SRO!!! REGISTER NOW: conv2xsymposium.com/shop/ #decentralizedhealth #healthAI #infrastructure #lifescience

📢 Health & Medical Devs: SHOW US YOUR APP! The number of medical apps keeps growing, but what about trust? 🚨 APP Devs: Build your cred and differentiate your app from a world of others for digital health stakeholders. Grab the opportunity to demonstrate trust, clinical value, technical soundness, and ethical design. Get your app assessed NOW! Show the world your innovation and APPLY BEFORE OCTOBER 16, 2026! 👉 Learn more and apply at ieeesa.io/health-app-pitch 💥 IEEE Global Medical Mobile App Virtual Pitch = Sign up, get assessed, and PITCH! #DigitalHealth #HealthTech #MedTech #MobileHealth #mHealth #MedicalApps #DigitalTherapeutics #HealthcareInnovation #startups #pitch @IEEESA @IEEEorg

📢 New Research Article: Lightweight Privacy-Preserving Blockchain Framework for Healthcare: A Simulation-Based Approach to Reducing Computational Overhead This study investigates a lightweight blockchain framework designed to balance privacy, security, and computational efficiency in healthcare data sharing. The model combines hybrid encryption, zero-knowledge verification, homomorphic aggregation, and off-chain storage to protect patient information while addressing the operational burden associated with privacy-preserving technologies. ➡️ Read the full article to examine the framework, simulation, and findings: doi.org/10.30953/bhty.v9.516 CONTINUE THE CONVERSATION AT CONV2X Simply the BEST at ConV2X from BHTY! ➡️ REGISTER TODAY for FINAL SEATING at conv2xsymposium.com/shop REAL TALK. REAL CONCEPTS. REAL CASES. MORE CONNECTIONS. September 24–25, 2026 The Foundry | Cambridge, Massachusetts

🔥 THIS IS THE KIND OF MIC-DROP CONVERSATION YOU CAN EXPECT AT CONV2X: Beyond Lamp Posts and Rat Tails: What Patient Outcomes Are We Really Measuring in Medical AI? What if a medical AI model is highly accurate—but fails to change treatment or improve patient outcomes? What, exactly, have we validated? Under Chatham House Rule, Anjum Khurshid and Leo Anthony Celi will confront the questions often left outside conversations. REAL TALK. REAL CONCEPTS. REAL CASES. MORE CONNECTIONS. 📍 The Foundry, Cambridge, MA 📅 September 24–25 ➡️ REGISTER NOW AT conv2xsymposium.com/shop/ #ConV2X #MedicalAI #HealthcareAI #ClinicalAI #PatientOutcomes #DataQuality #AIGovernance #DigitalHealth #HealthTech #ResponsibleAI @harvardmed @MALifeSciences @MIT_CSAIL #healthpolicy @MIT

A new MIT report finds AI is causing mass 'cognitive surrender’: A landmark study from an MIT committee reveals that pervasive artificial intelligence usage is fundamentally eroding active learning. The report warns that students are falling into 'cognitive surrender,' reaching for chatbots at the first sign of difficulty and bypassing the 'productive struggle' crucial for developing critical thinking. This over reliance has led to an 'illusion of learning' where homework scores rise but actual memory retention and test performances plummet. Furthermore, the report details an isolating shift in campus culture: traditional study groups are vanishing and office hours sit empty as students choose automated chatbot replies over human collaboration. Despite these alarming findings, a deep divide has emerged between cautious faculty and optimistic university leaders who continue to aggressively champion AI integration. While some administrators argue that embracing the technology is necessary to keep institutions relevant, others are recognizing that current evaluation methods are broken. To combat this, schools like MIT are avoiding unreliable AI detectors and instead rebuilding curricula around human-centric assessments — such as oral exams, semester portfolios, and mandatory group work — designed to rescue education by reclaiming the struggle of thinking. source: Blinder, A. (2026). Universities Sound Warnings About A.I. Even as They Embrace It. The New York Times.

New Issue coming out soon - register now and don't miss an article, podcast, or video with top thought leaders and researchers around the globe. Go to telehealthandmedicinetoday.c… #digitalhealth #virtualcare #healthtech #ehealth #mobilehealth #healthpolicyh #telehealth #telemedicinr

The Lancet staff are going on strike for the first time in the journal’s 200-year history. Is it surprising? I don’t think so. Authors produce the research and write the papers. Reviewers provide scientific evaluation, mostly for free. Editors carry much of the burden of keeping the system running. Then the same academic community pays thousands of dollars in APCs to make its own work open access. Yet staff are now striking over pay, while the publisher’s scientific, technical and medical division reports more than £1 billion in annual adjusted operating profit. So there is a simple question: where does all that money go? Authors, reviewers, editors, and institutions are carrying an ever-growing burden. I don’t think the current academic publishing model is sustainable. researchprofessionalnews.com…

The Economist says AI created a million jobs in America. I read that twice. Then I found out who's getting hired and it made total sense. For two years the only headline was the same one. AI is coming for your job. Learn to code was dead. Entry level was finished. Everyone under thirty was about to be replaced by a chatbot. So The Economist did the thing nobody else bothered to do. They actually counted. They lined up every job AI created against every job it killed. The layoffs first, because that's the part everyone was waiting for. About 200,000 jobs gone since mid 2023. Real people, real pink slips, companies openly blaming AI. Customer service down around 10 percent. Admin and secretary roles down about 15. That part of the fear was true. Then they counted the other side. Around a million new jobs. Five made for every one destroyed. I sat with that number for a second because it's the exact opposite of what I'd been told to expect. Then I looked at where the jobs actually went, and the whole thing clicked. The biggest winners of the AI boom don't touch a keyboard. They're electricians. Here's the part nobody explains. AI doesn't live in the cloud. The cloud is a lie we tell ourselves. AI lives in enormous buildings full of computers that run hot enough to cook an egg, and those buildings have to be built, wired, cooled, and fed more power than a small city. So the money went there. Around 320,000 more jobs than normal in the industries that build these things. Electricians. HVAC techs. The people who wire electrical equipment. Utility crews. Companies are so desperate for them that data center jobs pay about 40 percent more than the same work anywhere else. The white collar side grew too. Roughly 730,000 above trend in the jobs sitting closest to AI. Engineers, software people, data scientists, plus a wave of roles that didn't exist three years ago like the people who label training data and the ones who bolt these systems into real companies. Even the jobs everyone said were doomed kept growing. Paralegals up 11 percent. Market research analysts up 6. The national average was around 2. Now the honest part, because I'm not here to sell you a fairy tale. This is an estimate, not a government census. Nobody at the Bureau of Labor Statistics stamped a form that says one million AI jobs. The Economist built the number from employment trends and some careful guessing, and the two sides aren't perfectly comparable. The layoffs are announced cuts. The million is jobs above where the trend line said we'd be. And "created by the AI boom" is doing heavy lifting. An electrician wiring a data center is real work. It is not AI hiring a million prompt engineers. But strip all of that away and one thing survives. The apocalypse everyone promised is two years late. The thing that was supposed to erase work quietly built a small city's worth of it instead. We spent two years scared of the wrong number.

📢 Health & Medical Devs: SHOW US YOUR APP! The number of medical apps keeps growing, but what about trust? 🚨 APP Devs: Build your cred and differentiate your app from a world of others for digital health stakeholders. Grab the opportunity to demonstrate trust, clinical value, technical soundness, and ethical design. Get your app assessed NOW! DEADLINE: APPLY BEFORE OCTOBER 16, 2026! 👉 Learn more and apply at ieeesa.io/health-app-pitch 💥 IEEE Global Medical Mobile App Virtual Pitch = Sign up, get assessed, and PITCH! #DigitalHealth #HealthTech #MedTech #MobileHealth #mHealth #MedicalApps #DigitalTherapeutics #HealthcareInnovation #startups #pitch @IEEEorg @IEEESA

🚨 Are universities still relevant in the age of AI? Will they continue to provide economic value to students and society in the coming years? Can they SURVIVE AI disruption? Over the past few years, we have watched AI models become as capable as or more capable than humans in most cognitively valuable fields, and many young people today are deeply uncertain about the skills and career paths least likely to be undermined by AI advancements. We have also seen AI enter schools and universities as students use it for homework, projects, and as a learning assistant, while teachers struggle to adapt their materials and teaching methods to this emerging ‘co-learning’ environment. Many watch these developments and declare that universities are dead and that pursuing a degree is a useless or futile endeavor. Maybe not, if they evolve and reshape their mission. In his new paper, “The University after AI,” @profjasonpotts offers a fascinating analysis of the role, function, and value of universities, explaining in detail how AI is disrupting them and putting them at risk of becoming irrelevant in the post-AI age. When describing universities, he writes: “A university is a self-governing micro-republic, corporate in form, approximately 1000 years old (older than nation states, younger than religion), that exists within but always apart from society (for instance they often have their own police and justice tribunals), and which serves as the custodian of knowledge, creator of new knowledge, and whose primary business is to upload that knowledge into a select group of the next generation. This is a service that students want and that society is willing to pay for.” He also states: “A university, then, is neither a cloister nor a factory but a platform, or a multi-sided market whose primary economic function is to reduce the transaction costs of matching distinct groups who wish to trade with one another.” In light of the threat posed by AI, the author offers the following ten proposals to restructure the role, function, and value of universities: - Institutionally separate certification from instruction - Restore the costly signal - Rebuild the missing junior loop - Fast-response accreditation - Sell the cohort - Host scholars rather than employ them - Move to the new frontier - Shed sides - Make the claim on graduate outcomes explicit - Governance as the production technology of the warrant The paper offers a fantastic economic analysis of AI’s impact on this 1,000-year-old institution, informs broader discussions on AI ethics, policy, and regulation, and makes for a great weekend read. 👉 You can find the paper and my follow-up recommendations below. 👉 To receive all my paper recommendations, classes, and essays on AI, join my newsletter's 100,500+ subscribers below.

🚨 FINAL SEATS: CONV2X Decentralized Health, CAMBRIDGE, MA - focused on trusted infrastructure, secure data, effective governance and systems that scale across healthcare and life sciences. Industry Leaders discuss: • Generative and agentic AI • Decentralized health infrastructure • Clinical research transformation • Cybersecurity and data integrity • Digital assets and tokenization • AI governance, standards and implementation REAL TALK. REAL CONCEPTS. REAL CASES. MORE CONNECTIONS. ➡️ FINAL SEATING: conv2xsymposium.com/shop • Obtain intelligence to apply to strategy, investment, and implementation WHY Register Now? • 76% reported making meaningful professional connections • 73% of participants are Director, VP, C-suite or founder level • 94% of 2025 attendees rated the sessions Excellent or Good • Side by side access to senior decision makers 📍 The Foundry, Cambridge, MA 📅 September 24–25 ➡️Tag a healthcare, life sciences or technology leader who should be in the room. #ConV2X #DecentralizedHealth #AgenticAI #HealthcareAI #HealthTech #LifeSciences #Cybersecurity #DigitalAssets #CambridgeMA @MassBio @MassLifeSci @MIT @harvardmed @CICnow @VentureCafe