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Learn more about how Isomorphic Labs' Drug Design Engine is using artificial intelligence to help solve disease. Join Agnieszka Podsiadlo and Andreas Loukas today at 3:00pm at the Google booth (#B206#) to discuss AI healthcare pipelines. #ICML2026#
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AI tools are playing an increasingly large role in mental health care, but the governance frameworks needed to ensure they are safe and effective are lagging behind. A policy workshop, hosted by @StanfordHAI's Healthcare AI Policy Steering Committee in collaboration with @StanfordMed's AI for Mental Health Initiative, identified three critical challenges policymakers need to address:
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Providers are using AI to code and appeal faster. Payors are using AI to deny and downcode faster. Eric Larsen calls it the bot war, and it's playing out in revenue cycle first. Eric wrote a 369-page essay on AI in healthcare stamped "not for distribution" and sent it to a private list of about 150 CEOs and investors. I got a copy and I'm going to make Eric defend the sharpest claims in the paper live. We'll get into: • why Eric calls revenue cycle the coding of healthcare labor automation, • why a single EHR instance is table stakes, not a revenue cycle strategy, • how to map AI exposure by task, not job title, • and more. Big thanks to R1 @R1RCM for partnering with us on this one. August 20, 1:00 PM ET. Virtual. Register now:
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Something I keep hearing from healthcare leaders is how the best strategic thinking never makes it out of the silo. Everybody's heads-down, there’s so much noise with healthcare and AI, and nobody's comparing notes. That's exactly why I’m hosting the Hospitalogy AI Retreat this November in Phoenix. 100 healthcare VP+ execs from finance, strategy, M&A and digital health, working to untangle healthcare AI and digital transformation together. If you want to be in the room, apply at
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Join me and visionary thinker and investor Eric Larsen, president of TowerBrook Advisors to discuss the idea behind Eric's latest essay, Healthcare's Oppenheimer Moment: AI is the industrialization of intelligence, and healthcare — expensive, labor-heavy, and sitting on decades of dormant data — is ground zero for what happens next. Watch me pressure-test his healthcare-AI thesis in real-time. Just some of what we'll get into: • Why Eric calls revenue cycle the coding of healthcare labor automation. • How to map AI exposure by task, not job title. • Who will be the real winners in the bot war? • Where and how Eric puts his own conviction on the line. • Why a single EHR instance is table stakes, not a revenue cycle strategy. Free - register now! @TowerBrook @Hospitalogy_HC
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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#
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AI is generating healthcare breakthroughs: detecting disease earlier, designing medicines faster, and giving clinicians more time with patients. At last week’s Bold Bets summit in Washington D.C., NVIDIA’s Rory Kelleher discussed how accelerated computing makes it possible.
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