News & Announcements
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from the Division
Division Chief Dr. Mark Musen awarded $20 Million for National AI-Enabled Cloud Laboratory Network
Stanford researchers have received $20 million as part of a new $400 million national initiative to build a network of AI-enabled, remotely operated laboratories. Led at Stanford by Mark Musen (pictured), the four-year project brings together collaborators from Purdue University, Morehouse College, and Emerald Cloud Lab to advance automated scientific experimentation. The Stanford team will also develop shared standards that will allow researchers to exchange cloud-lab specifications across the broader network of 20 awardees. The initiative is a core National Science Foundation contribution to the federal Genesis Mission, which seeks to harness AI to accelerate scientific discovery.
Latest News
from the Division
Big Ideas from Stanford Health AI Week
Speakers from academia, industry, government and nonprofits explored developing and implementing artificial intelligence in medicine responsibly, effectively and reliably.
Division & Research News
State of Clinical AI 2026: Inaugural Report Highlights Most Significant Developments and Challenges
The Stanford-Harvard AI Research and Science Evaluation (ARISE) network produced a comprehensive guide to help clinicians and decision-makers who are inundated with AI offerings. The report is presented as an easy-to-digest slide deck synthesizing the most impactful clinical AI research over the past year. Click to read the full report.
Biological data governance in an age of AI
As biological AI and general-purpose reasoning systems advance, the community faces balancing scientific progress with misuse risks. A new study by Tina Hernandez-Boussard, Russ Altman, & colleagues recommends narrow access controls on select high-risk pathogen data, while maintaining open access for most scientific data.
Euan Ashley and Nigam Shah Honored at PMWC 2026
Euan Ashley and Nigam Shah Honored at PMWC 2026
Euan Ashley and Nigam Shah have been named 2026 Luminary Award honorees by the Precision Medicine World Conference (PMWC). Euan is being honored for his work integrating precision medicine into clinical care, while Nigam is being recognized in the AI in Clinical Decision Support & Real-World Evidence track for advancing data-driven approaches that translate innovation into patient impact. Congrats to both on this well-deserved recognition!
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The magic of AI in health care: Beyond the illusion | 90 Seconds w/ Lisa Kim
Jonathan Chen, MD, PhD, director of AI in medical education at Stanford Medicine, has a few tricks up his sleeve when it comes to explaining how AI is reshaping medicine and patient care. Cutting through the smoke and mirrors, Chen separates anxiety from optimism around the hype — as this “hospital magician” takes his show on the road.
Click the image to see the full interview!
Holistic Evaluation of Large Language Models for Medical Tasks with MedHELM
A large, Stanford-led team, senior-authored by Nigam Shah, introduces MedHELM — an open, task-based framework for evaluating medical LLMs on realistic clinical work, not just exam-style benchmarks.
Click the image to read the full paper!
Computational Medicine Summarizes 10 Years of CEDAR Achievements
A new article synthesizes a decade of work on CEDAR Workbench. Results show that successful deployment of CEDAR stems from encoding metadata standards as reusable knowledge bases. FAIR data depends on communication of metadata standards for use with semantic technology. Click image to learn more!
New Stanford Medcast With Jonathan Chen: AI as a Thinking Partner in Medicine
AI isn’t about replacing clinicians — it’s about augmenting judgment in an increasingly complex healthcare system. In this episode, Jonathan Chen explores how AI can support clinical reasoning, education, and patient care, while also surfacing deeper issues around incentives, trust, and equity.
(Click image for podcast)
Medicine Grand Rounds: AI and Magic
Jonathan Chen, MD, PhD, is a biomedical informaticist who leads a research group applying human + AI approaches to clinical data to improve patient care, and a magician.
(Click image for recording)
Constructing the Future of Health; Stanford’s Division of Computational Medicine
For nearly forty years, Stanford’s Division of Biomedical Informatics Research (BMIR) has quietly shaped the way medicine understands data. Its faculty have built the frameworks that let clinicians ask sharper questions, the algorithms that make sense of millions of medical records, and the systems that help translate discovery into practice. But as their work has expanded — from building databases to designing AI models that guide clinical care, the name Biomedical Informatics Research no longer feels large enough to hold it.
That evolution has now been captured in a new name: Computational Medicine, with a mission embodied in its tagline: Constructing the Future of Health with Data-Driven Tools.
Mark Musen Named Distinguished Fellow of the American College of Medical Informatics
We’re proud to share that Mark A. Musen, MD, PhD, FACMI has been elected as a Distinguished Fellow of the American College of Medical Informatics (ACMI) in the 2025 class of Fellows. The ACMI Distinguished Fellow designation is one of the highest honors in biomedical and health informatics, recognizing individuals whose sustained leadership and scholarly contributions have significantly advanced the field. Dr. Musen has been formally inducted alongside his colleagues at the 2025 AMIA Annual Symposium in November.