Towards Bayesian-based quantitative adverse outcome pathways using in vitro data from open literature and continuous variables: a case example for liver fibrosis.
Robin Durník, Tereza Juchelková, Helge Hecht, Levi M. T. Winkelman, Joost B. Beltman, Xavier Coumoul, Florence Jornod, Karine Audouze, Luděk Bláha, Lola Bajard
This paper develops a Bayesian-based model using in vitro data and continuous variables to predict liver fibrosis by analyzing key markers of hepatic stellate cell activation.
Toxicological Sciences · Jul 29, 2026Peer-reviewedPharmacology & Toxicology