Medical, health, and genomics
Podcast
Navigating medical education in the era of generative AI
Next-generation physicians Morgan Cheatham and Daniel Chen discuss how generative AI is transforming medical education, exploring how students and attending physicians integrate new tools while navigating questions on trust, training, and responsibility.
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Senior Researcher
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Video
Scalable emulation of protein equilibrium ensembles with BioEmu
Following the sequence and structure revolutions, predicting functionally relevant protein structure changes at scale remains an outstanding challenge. Microsoft Research AI for Science introduces BioEmu, a deep learning system that emulates protein equilibrium ensembles by…
Podcast
How AI will accelerate biomedical research and discovery
Daphne Koller, Noubar Afeyan, and Dr. Eric Topol, leaders in AI-driven medicine, discuss how AI is changing biomedical research and discovery, from accelerating drug target identification and biotech R&D to helping pursue the “holy grail”…
Podcast
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,…
Microsoft Research Blog
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…
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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…
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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…