Machine learning-based unified models for predicting drug clearance from pharmacokinetic animal and study design variables.
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| Title: | Machine learning-based unified models for predicting drug clearance from pharmacokinetic animal and study design variables. |
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| Authors: | Ampadi Ramachandran R; 1DATA Consortium, www.1DATA.life, Kansas State University Olathe, Olathe, Kansas, United States of America.; Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, Kansas, United States of America.; Department of Mathematics, Kansas State University, Manhattan, Kansas, United States of America., Tell LA; Department of Medicine and Epidemiology, FARAD, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America., Mercer MA; Department of Medicine and Epidemiology, FARAD, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America., Xu X; 1DATA Consortium, www.1DATA.life, Kansas State University Olathe, Olathe, Kansas, United States of America.; Department of Statistics, Kansas State University, Manhattan, United States of America., Millagaha Gedara NI; 1DATA Consortium, www.1DATA.life, Kansas State University Olathe, Olathe, Kansas, United States of America.; College of Business, Loyola University, New Orleans, Louisiana, United States of America., Clapham MO; Department of Medicine and Epidemiology, FARAD, School of Veterinary Medicine, University of California-Davis, Davis, California, United States of America., Lin Z; Department of Environmental and Global Health, College of Public Health and Health Professions, University of Florida, Gainesville, FL, United States of America.; Center for Environmental and Human Toxicology, University of Florida, Gainesville, FL, United States of America., Riviere JE; 1DATA Consortium, www.1DATA.life, Kansas State University Olathe, Olathe, Kansas, United States of America.; Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, Kansas, United States of America.; Department of Population Health and Pathobiology, FARAD, College of Veterinary Medicine, North Carolina State University, Raleigh, North Carolina, United States of America., Jaberi-Douraki M; 1DATA Consortium, www.1DATA.life, Kansas State University Olathe, Olathe, Kansas, United States of America.; Food Animal Residue Avoidance and Databank Program (FARAD), Kansas State University Olathe, Olathe, Kansas, United States of America.; Department of Mathematics, Kansas State University, Manhattan, Kansas, United States of America. |
| Source: | PloS one [PLoS One] 2026 May 06; Vol. 21 (5), pp. e0346432. Date of Electronic Publication: 2026 May 06 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0346432 |
