Report summary

For Stanford University Department of Biomedical Data Science in 2021-2023, the graph shows 41 visible PIs and 45 internal PI collaborations. The dominant subject mix is Medicine as the leading field (35% of slots across 27 PIs; 27 labels), Molecular Biology as the leading subfield (12% of slots across 12 PIs; 12 labels), and AI in cancer detection as the leading topic (3% of slots across 4 PIs; 4 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are John P. A. Ioannidis (63.6 weighted works; COVID-19 epidemiological studies, SARS-CoV-2 and COVID-19 Research). The most visible ties are Teri E. Klein and Michelle Whirl‐Carrillo (15 shared works, weight 5.5). The standout breakdown groups are group 1 with 10 PIs, 10 internal connections, weight 14.3, around Molecular Biology, Artificial Intelligence, Genetics, led by James Zou, Howard Y. Chang, Euan A. Ashley.