Transforming Data Into Better Health
DBDS is harnessing AI and biomedical data to revolutionize precision health and medicine. Our 2025 Annual Report marks a decade of innovation — an AI-assisted tumor board, computational pathology, AI-enhanced spatial biology, and more. We’re training students to be fluent in both computation and biomedicine to drive real-world impact. Best viewed full-screen (bottom right)
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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).
@StanfordDBDS
Kristy Carpenter wins the “Drug Repurposing” NIDA Challenge and may have solved an even bigger issue with her research
Biomedical Data Science (DBDS) 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.