Today in the journal Science: BioEmu from Microsoft Research AI for Science. This generative deep learning method emulates protein equilibrium ensembles – key for understanding protein function at scale.

First encounters with generative AI can be memorable. In Ep. 7 of “The AI Revolution in Medicine, Revisited,” @BillGates and @SebastienBubeck recount their early experiences and share how they see the tech changing healthcare now and in the future.

Microsoft Research invites organizations of all sizes to join the DFT Research Early Access Program to explore the potential of our new Skala functional and accelerate innovation across industries through faster and more accurate density functional theory.

Excited to share two advances that bring us closer to real-world impact in healthcare AI: SDBench introduces a new benchmark that transforms 304 NEJM cases into interactive diagnostic simulations. AI must ask questions, order tests, and weigh costs, mirroring the complexity of real clinical decision-making. MAI-DxO is a model-agnostic orchestrator that simulates a panel of virtual physicians. It achieves 85.5% diagnostic accuracy—four times that of experienced doctors—while cutting diagnostic costs. Together, these advances offer a blueprint for how AI can help deliver precision and efficiency in healthcare, and we're looking forward to working with healthcare partners and the entire ecosystem on these advances making a difference.

In “AI Testing & Evaluation,” Alta Charo, an expert in biotech governance, explores the evolving landscape of genome editing & its regulatory implications, while Microsoft GM Daniel Kluttz reflects on those insights in the context of AI governance.

We're taking a big step towards medical superintelligence. AI models have aced multiple choice medical exams – but real patients don’t come with ABC answer options. Now MAI-DxO can solve some of the world’s toughest open-ended cases with higher accuracy and lower costs.

The world’s first multimodal, bilingual radiology dataset could reshape the way radiologists and AI systems make sense of X-rays. PadChest-GR, developed by the University of Alicante with Microsoft Research, has the potential to advance research across the field for years to come.

We’re just scratching the surface of AI’s potential to transform healthcare. @BillGates and @SebastienBubeck discuss their visions for the future and what needs to happen to get there in Ep. 7 of “The AI Revolution in Medicine, Revisited.”

In the intro episode of “AI Testing and Evaluation: Learnings from Science and Industry,” host Kathleen Sullivan and Amanda Craig Deckard discuss Microsoft’s efforts to draw on other domains’ experiences to advance AI governance policy and practices.

In Ep. 7 of “The AI Revolution in Medicine, Revisited,” @BillGates and @SebastienBubeck explore the state of generative AI in medicine, the potential of “medical intelligence” to empower people across healthcare, and what will come next.