Healthcare AI is not just a model question. It is a control question. As AI enters clinical workflows, hospitals need to know where patient data goes, who governs it, and whether they can deploy AI on their own terms. That is why control, security, and flexibility matter.

Kulleni Gebreyes, Vice Chair, Life Sciences & Health Care Industry Leader at Deloitte Consulting LLP, on AI-powered healthcare and the future of personalized medicine. From the @america250 x Forbes America Innovates stage. #Forbes250# #A250#

Honored to announce that our Co-Founder & CEO, Dr. Tuan Cao, will be speaking at GStar Summit 2026: AI + Humanity, co-organized by New Turing Institute and Pacific Gateway Partners, with Google as a strategic partner. Session: AI for Healthcare & Life Sciences Behind every piece of biological data is a real human being. AI can unlock extraordinary potential in healthcare but only when human dignity comes before model prediction. 📅 May 29, 2026 📍 Sheraton Saigon Grand Opera Hotel, Ho Chi Minh City 🎟️ Register: Join over 1,000 leaders, researchers, and innovators working toward a more responsible AI future in Southeast Asia.

Healthcare's AI transformation is accelerating, and JPM 2026 made that clear. We kicked off the week with our second annual Healthcare CEO Dinner, co-hosted by our CEO @htaneja alongside Matt Garman, CEO of @awscloud, bringing together the founders, investors, and executives leading enterprise transformation at @SummaHealth, @WellSpan, HATCo, and beyond. Throughout the week, conversations centered on a vision we're a decade into building: health assurance. That means proactive, accessible, and affordable care that shifts from treating sickness to sustaining wellness. We've assembled a portfolio of companies—@CommureOS, @Hippocraticai, @transcarent, Capital Rx, @ro, @HealthEx_io, @aidocmed, and others—architecting this future together. Applied AI is the engine of healthcare abundance. It creates capacity where there was constraint, access where there were barriers, and affordability where costs once spiraled. The scarcity that has defined healthcare for generations can finally give way to a system designed for everyone. The capital and innovation are here. What matters now is the conviction to execute and the commitment to partner in building a system that doesn't wait for people to get sick, but works tirelessly to keep them well.

🤖 Powerful AI empowerment workshop in Macau this week From Cantonese speech recognition to faster administrative approvals and smarter healthcare — the workshop proved that real AI value comes from solving local problems. 💪 Interested in how AI can work for your business in Macau? Let's connect: #AlibabaCloudISV# #AIforMacau# #AInnovation#

Although AI is creating massive layoffs, reshaping hiring and workplace expectations, a new report shows healthcare jobs have been mostly unscathed, offering graduates strong earning potential and purposeful work—a powerful combination over time. Read more:

Everyone is racing to build smarter AI models. But @nesaorg is focused on something most people overlook: How do you run AI in environments where trust actually matters? Healthcare. Finance. Sensitive user data. Real-world inference. That’s what makes Nesa interesting to me Not just “AI on blockchain" but private, verifiable, decentralized AI execution designed for real-world systems. Because eventually the biggest AI challenge won’t be intelligence. It’ll be trust.

The businesses getting the most out of AI right now aren't tech companies. They’re plumbers, agency owners, dentists, Etsy sellers. New data from @OpenAI (cc @RonnieChatterji) makes the pattern clear: tech startups account for about 5% of ~active~ U.S. users doing entrepreneurial work with ChatGPT. The other 95% are spread across services, retail, healthcare, and trades. AI adoption for entrepreneurship isn’t concentrated in tech. It’s happening inside everyday businesses, folding into routine work that used to be slower or outsourced or entirely overlooked.

The gap between benchmark performance and real-world reliability is starting to become one of the biggest challenges in AI. Especially in areas like healthcare, legal AI, and robotics, where a technically “correct” answer isn’t always enough. These systems increasingly depend on: - Contextual reasoning - Expert judgment - High-quality human feedback loops Which is pushing the industry toward more specialized and verifiable data infrastructure.

George Church, Harvard & MIT professor and Forbes 250 America’s Greatest Living Innovators list honoree, on AI and the life sciences breakthroughs shaping the future of healthcare.⁣ ⁣ From the @america250 x Forbes America Innovates stage.⁣ ⁣ #Forbes250# #A250#