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