Medical Xpress January 20, 2026
A new artificial intelligence (AI) method called BioPathNet helps researchers systematically search large biological data networks for hidden connections—from gene functions and disease mechanisms to potential therapeutic approaches. BioPathNet was developed by teams at Helmholtz Munich and Mila—Quebec Artificial Intelligence Institute in Montreal, Canada. The researchers have now published the method in the journal Nature Biomedical Engineering.
Interpretable AI connects genes, diseases, and drugs
Biomedical “knowledge graphs” are structured maps that link genes, proteins, diseases, drugs, and biological processes, capturing their relationships to help both humans and AI understand biology and medicine in a systematic way. However, these networks remain incomplete: Many relationships that researchers expect to exist have not yet been documented.
BioPathNet is an AI method for analyzing...
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