An artificial intelligence-backed virtual biotech company predicted drug trial success and independently designed a lung cancer therapy that was later validated in trials.
Stanford Medicine researchers converted scientific papers into artificial intelligence agents that can answer questions, run analyses and collaborate to make new discoveries.
PANORAMIC, a new open-source tool, discovered immune signals in colon cancer that were missed by existing methods.
Roxana Daneshjou, assistant professor of biomedical data science, has been named a Fierce 50 Innovation Honoree.
The tool could help scientists accelerate discoveries in areas ranging from basic cell biology to disease diagnosis and treatment.
How does the human brain work to make meaning? Can researchers develop an AI model that captures this process?
Researchers are venturing into a new area of collaboration that relies on agentic AI, co-scientists that can act independently and help humans ideate,
Aaron Newman, associate professor of biomedical data science, has been awarded a Trailblazer Cancer Research Grant by the American Association for Cancer Research.
Speakers from academia, industry, government and nonprofits explored developing and implementing artificial intelligence in medicine responsibly, effectively and reliably.
Next Frontier in Medicine: AI That Learns, Adapts, and Helps Develop Medical Cures
DBDS Chair Sylvia Plevritis, PhD, has been elected to the 2026 class of fellows at the International Society for Computational Biology—a fellowship program that recognizes excellence in computational biology.
In 2026, AI is no longer adjacent to healthcare—it is integral to it. AI is creating new opportunities to interpret complex biomedical data and generate insights relevant to research and patient care.
🎉 We would like to congratulate the 2025 winners of the DBDS Administrative Staff Recognition Awards presented at Wednesday night’s annual holiday party!
Trevor Hastie & Rob Tibshirani (along with Sourav Chatterjee) have just published a new paper “Univariate-guided sparse regression” where they present a new statistical tool called “uniLasso” that improves how we build predictive models from data.
The first Executive AI Summit on Healthcare and Medicine was held by Stanford’s Biomedical Data Science Department and Accenture on April 8,
Tanveer Syeda-Mahmood has been selected to receive the 2025 EMBS Professional Career Achievement Award “for outstanding technical achievement and leadership in multimodal decision support with lasting impact to academia/industry in multimodal healthcare AI.”
The award is given annually “for outstanding contributions advancing Biomedical Engineering and its professional practices as a practicing biomedical engineer working in industry,
