Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis.

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Bibliographic Details
Title: Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis.
Authors: Moore BM; Morgridge Institute for Research., Freeman J; Morgridge Institute for Research., Millikin RJ; Morgridge Institute for Research., Mohanty C; Morgridge Institute for Research., George KS; Morgridge Institute for Research., Bal A; Morgridge Institute for Research., Lock C; Morgridge Institute for Research., Sauer JD; Department of Medical Microbiology and Immunology, University of Wisconsin-Madison School of Medicine and Public Health., Spurgeon ME; Morgridge Institute for Research.; McArdle Laboratory for Cancer Research, Department of Oncology, University of Wisconsin School of Medicine and Public Health.; John W. and Jeanne M. Rowe Center for Research in Virology., Moore DL; Department of Neuroscience, University of Wisconsin-Madison School of Medicine and Public Health., Travers BG; Occupational Therapy Program, Department of Kinesiology, University of Wisconsin-Madison.; Waisman Center, University of Wisconsin-Madison., Stewart R; Morgridge Institute for Research.
Source: BioRxiv : the preprint server for biology [bioRxiv] 2026 Jun 07. Date of Electronic Publication: 2026 Jun 07.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101680187 Publication Model: Electronic Cited Medium: Internet ISSN: 2692-8205 (Electronic) Linking ISSN: 26928205 NLM ISO Abbreviation: bioRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2692-8205
DOI:10.64898/2026.06.05.730173