The Department of Biomedical Data Science (DBDS) at Stanford University held its annual retreat from September 15 to 17 at the Computing and Data (CODA) Science building and E.D.
Two Stanford Medicine teams have been awarded Advanced Research Projects Agency for Health contracts for their work in using artificial intelligence for better patient outcomes.
Even as recently as a decade ago, scientists were drowning in data. Today, powerful and efficient data science methods can devour data to extract meaning from it.
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.
