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Leveraging multiplicity in biologically informed neural networks to uncover disease heterogeneity

2026-07-20

Abstract excerpt

Biologically inspired neural networks (BINNs) embed pathway, ontology, or protein-interaction structure directly into neural networks, promising interpretable disease prediction where hidden nodes map to named biological entities. Yet BINNs have been hard to train at biobank scale, and the reliability of their interpretations remains largely untested. Here we present a fast BINN implementation trained on UK Bioban...

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Literature Corpus work
60540457-dd30-512c-ad6f-79a527b3311a
DOI
10.64898/2026.07.15.738681
Open publication

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Leveraging multiplicity in biologically informed neural networks to uncover disease heterogeneityDOI 10.64898/2026.07.15.738681
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