Report summary

Henry Ford Health System Center for Bioinformatics in 2015-2026 reads as a 9-PI network with 25 internal PI collaborations. The dominant subject mix is Medicine as the leading field (38% of slots across 3 PIs; 3 labels), Artificial Intelligence as the leading subfield (11% of slots across 1 PIs; 1 labels), and AI in cancer detection as the leading topic (8% of slots across 1 PIs; 1 labels). Overall the pattern is balanced: there is enough structure to identify active groups, while the field mix still leaves room for multiple research identities. The leading PI names are Qing‐Sheng Mi (32.2 weighted works; Immune Cell Function and Interaction, MicroRNA in disease regulation). The most visible ties are Indra Adrianto and Qing‐Sheng Mi (18 shared works, weight 9.4). The leading breakdown groups are group 1 with 9 PIs, 25 internal connections, weight 48.6, around Immunology, Pulmonary and Respiratory Medicine, Epidemiology, led by Qing‐Sheng Mi, Albert M. Levin, Jesse Veenstra.