View in EDS

A Simple Framework for Collaborative Development of Predictive Models Trained on Proprietary Data.

Saved in:

Bibliographic Details
Title:	A Simple Framework for Collaborative Development of Predictive Models Trained on Proprietary Data.
Authors:	Rodríguez-Belenguer P; Biomedical Imaging Research Group (GIBI230), Instituto de Investigación Sanitaria La Fe, Valencia 46026, Spain., Amberg A; Sanofi, Preclinical Safety, Industriepark Hoechst, Frankfurt am Main 65926, Germany., Bringezu F; Merck Healthcare KGaA, Chemical & Preclinical Safety, Darmstadt 64293, Germany., Frericks M; BASF SE, Registered Office, Ludwigshafen 67056, Germany., Hemmerich J; BASF SE, Registered Office, Ludwigshafen 67056, Germany., Monecke P; Sanofi, Preclinical Safety, Industriepark Hoechst, Frankfurt am Main 65926, Germany., Oberhauser N; Novartis Pharma, Basel CH-4056, Switzerland., Trairatphisan P; Sanofi, Preclinical Safety, Industriepark Hoechst, Frankfurt am Main 65926, Germany., Pastor M; Research Programme on Biomedical Informatics (GRIB), Department of Medicine and Life Sciences, Hospital Del Mar Medical Research Institute, Universitat Pompeu Fabra, Barcelona 08003, Spain.
Source:	Journal of chemical information and modeling [J Chem Inf Model] 2025 Dec 08; Vol. 65 (23), pp. 12764-12774. Date of Electronic Publication: 2025 Nov 18.
Publication Type:	Journal Article
Journal Info:	Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1549-960X
DOI:	10.1021/acs.jcim.5c02068