We define biomedical data science as the study of biomedical data and information, of how such data and information may be structured, and of how analysis and processing of biomedical data and information will lead to new discoveries and to advances in health and healthcare.
The Stanford Medical School started the Department of Biomedical Data Science to cultivate and provide an intellectual home for this collaborative research, to recruit emerging talent, and to provide outstanding training to postdoctoral scholars and graduate students working in this area. As a basic science department, DBDS is devoted to the development of methods for learning from biomedical data, managing those data, and using the data to inform discovery. Our research will create novel computational and statistical methods for acquiring, representing, storing, and analyzing biological and clinical data at all scales.
Workshop in Biostatistics (BIODS/STATS 260)
This seminar series doubles as a class and provides an in depth look at some of the applications of data science in biomedicine. Areas include genetics, evolutionary biology, clinical trials, epidemiology, and others. Speakers are both from academia and industry.
Come and see how Stanford experts can help you deploy data science in your biomedical research. We offer consultations on clinical trials, population health studies, and complex -omics data.
BMIR and DBDS Faculty Featured in New PanCan Papers
Faculty from Stanford’s Center for Biomedical Informatics Research (BMIR) and the Department of Biomedical Data Science (DBDS) contributed greatly to the completion of the Cancer Genome Atlas (TCGA) PanCancer Atlas Initiative (PanCan), which spanned a decade and analyzed over 11,000 tumors from 33 of the world’s most prevalent cancers.