The 2026 Annual Report
Advancing Precision Health and Medicine Through Artificial Intelligence and Biomedical Data
AI is changing how scientists discover biology, how clinicians make decisions, and how students prepare for the future of medicine. The Stanford Department of Biomedical Data Science’s 2026 Annual Report highlights breakthroughs in AI, genomics, computational biology, and medical imaging – and the people and partnerships turning data into better health.
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Our Mission
The Department of Biomedical Data Science (DBDS) is an academic research community, comprised of faculty, students, and staff, whose mission is to advance precision health by leveraging large, complex, multi-scale real-world data through the development and implementation of novel analytical tools and methods.
What is Biomedical Data Science?
Biomedical Data Science “spans a range of biological and medical research challenges that are data intensive and focused on the creation of novel methodologies to advance biomedical science discovery.” The term “data science” describes expertise associated with taking (usually large) data sets and annotating, cleaning, organizing, storing, and analyzing them for the purposes of extracting knowledge. It merges the disciplines of statistics, computer science, and computational engineering” (Annual Review of Biomedical Data Science).
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?
@StanfordDBDS
Kristy Carpenter wins the “Drug Repurposing” NIDA Challenge and may have solved an even bigger issue with her research
Biomedical Data Science Graduate Program
Our mission is to train future research leaders to design and implement novel quantitative and computational methods that solve challenging problems across the entire spectrum of biology and medicine.