Zhoumeng Lin's research is focused on developing computational models, especially PBPK models for chemicals and nanomaterials to support nanomedicine development, chemical and nanoparticle risk assessment. He is an associate professor in the Department of Environmental and Global Health in the College of Public Health and Health Professions.
Areas of Expertise (7)
Food Safety Assessment
Physiologically-Based Pharmacokinetic (PBPK) Modeling
Human Health Risk Assessment
Development of a multi-route physiologically based pharmacokinetic model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in ratsParticle and Fibre Toxicology
Wei-Chun Chou, et al.
Physiologically based pharmacokinetic (PBPK) modeling is an important tool in predicting target organ dosimetry and risk assessment of nanoparticles (NPs). The methodology of building a multi-route PBPK model for NPs has not been established, nor systematically evaluated.
Machine learning and artificial intelligence in toxicological sciencesToxilogical Sciences
Wei-Chun Chou, et al.
Machine learning and artificial intelligence approaches have revolutionized multiple disciplines, including toxicology. This review summarizes representative recent applications of machine learning and artificial intelligence approaches in different areas of toxicology, including physiologically based pharmacokinetic (PBPK) modeling, quantitative structure-activity relationship modeling for toxicity prediction, adverse outcome pathway analysis, high-throughput screening, toxicogenomics, big data and toxicological databases.
Residue depletion profiles and withdrawal interval estimations of meloxicam in eggs and ovarian follicles following intravenous and oral administration in domestic chickensRegulatory Toxicology and Pharmacology
Long Yuan, et al.
Meloxicam is a non-steroidal anti-inflammatory drug (NSAID) commonly prescribed in an extralabel manner for treating chickens in urbanized settings. The objectives of this study were to determine meloxicam depletion profiles in eggs and ovarian follicles and to estimate associated withdrawal intervals (WDI) in laying hens following a single intravenous or repeated oral administration. The observed peak concentration of meloxicam in ovarian follicles were consistently higher than in egg yolk and egg white samples.