
AI Testing and Evaluation: Learnings from genome editing
Bioethics and law expert R. Alta Charo explores the value of regulating technologies at the application level and the role of coordinated oversight in genome editing, while Microsoft GM Daniel Kluttz reflects on Charo’s points,…
PadChest-GR: A bilingual grounded radiology reporting benchmark for chest X-rays
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…
BioEmu-1
Biomolecular Emulator (BioEmu-1 for short) is a deep learning model that can generate thousands of protein structures per hour on a single graphics processing unit. It provides orders of magnitude greater computational efficiency compared to…
EvoDiff
EvoDiff is a general-purpose diffusion framework that combines evolutionary-scale data with the distinct conditioning capabilities of diffusion models for controllable protein generation in sequence space. EvoDiff generates high-fidelity, diverse, and structurally-plausible proteins that cover natural…
Transforming Tumor Boards: AI Agents and the New Era of Personalized Cancer Care
In this fireside chat, Shrey Jain, Product Lead of the Healthcare Agent Orchestrator, joins Eric Horvitz, Chief Scientific Officer at Microsoft, to explore how AI agents are revolutionizing personalized cancer care. They delve into the…
How AI is reshaping the future of healthcare and medical research
Technologists Bill Gates and Sébastien Bubeck discuss the state of generative AI in medicine, how access to “medical intelligence” might help empower people across healthcare, and how AI’s accelerating improvements are likely to affect both…
Episode 7: The road ahead
In this final episode of the series. Microsoft health leaders look three years into the future and predict some big innovations to come. Their forecasts include multimodal AI agents that will transform healthcare by saving…
Episode 6: Healthcare Agent Orchestrator
Healthcare AI agents can now be customized and evaluated to tackle even more of the “undifferentiated heavy lifting” in healthcare. One example is to organize complex patient data into clear timelines to quickly understand the…
Episode 5: Breakthroughs in AI
New advances in AI technology are helping fulfill longstanding expectations for game-changing healthcare improvements. This episode dives into the key advances—such as attention mechanisms, self-supervision, and large-scale data—which enable models to understand and work with…