Report summary

For Harvard University Department of Biomedical Informatics in 2022-2026, the graph shows 57 visible PIs and 91 internal PI collaborations. The dominant subject mix is Medicine as the leading field (29% of slots across 35 PIs; 35 labels), Molecular Biology as the leading subfield (13% of slots across 21 PIs; 21 labels), and Artificial Intelligence in Healthcare and Education as the leading topic (4% of slots across 7 PIs; 7 labels). That is a healthy pattern, with enough links to reveal several interpretable groups rather than one undifferentiated component. The top weighted PIs are Chirag J. Patel (20 weighted works; Climate Change and Health Impacts, COVID-19 epidemiological studies). The most visible ties are Sehi L’Yi and Nils Gehlenborg (15 shared works, weight 10.1). The standout breakdown groups are group 1 with 8 PIs, 8 internal connections, weight 22.4, around Artificial Intelligence, Health Informatics, Radiology, Nuclear Medicine and Imaging, led by Pranav Rajpurkar, Isaac S. Kohane, Gabriel A. Brat.