Machine Learning and Artificial Intelligence in Toxicology and Environmental Health

Edited by:   Zhoumeng Lin PhD (Associate Professor Department of Environmental and Global Health College of Public Health and Health Professions University of Florida Gainesville USA), Wei-Chun Chou, PhD (Research Assistant Professor, Center for Environmental and Human Toxicology, College, University of Florida, Gainesville, USA)
Imprint:   Academic Press Inc
Country of Publication:   United States
Dimensions:   Height: 235mm,  Width: 191mm, 
Weight:   450g
ISBN:   9780443300103
ISBN 10:   0443300100
Pages:   464
Publication Date:   19 September 2025
Audience:   College/higher education ,  Professional and scholarly ,  Primary ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

Dr. Zhoumeng Lin is an Assistant Professor of Pharmacology and Toxicology in the Institute of Computational Comparative Medicine (ICCM), Department of Anatomy and Physiology, College of Veterinary Medicine, Kansas State University. He is a Diplomate of American Board of Toxicology (DABT), the Coordinator of the Certara Center of Excellence for Model-informed Drug Development at Kansas State University, and the Principal Investigator at the Midwest Regional Center of the Food Animal Residue Avoidance Databank (FARAD) program. Dr. Lin has more than 8 years of research experience in PBPK modeling for environmental chemicals, drugs, and nanoparticles in laboratory rodents, food-producing animals, companion animals and humans. He received graduate training in Toxicology and PBPK modeling from Dr. Nikolay M. Filipov and Dr. Jeffrey W. Fisher at The University of Georgia. He received postdoc training in Pharmacology, Toxicology, and PBPK modeling from Dr. Jim E. Riviere, Dr. Nancy A. Monteiro-Riviere and Dr. Ronette Gehring at Kansas State University. He learned how to teach PBPK modeling from the PBPK Modeling Workshop for Beginners offered by Dr. Raymond S. H. Yang at Colorado State University. His current research focuses on developing PBPK models and other computational methods to address issues in food safety assessment, toxicology, and risk assessment. He teaches an online course entitled “Physiologically Based Pharmacokinetic Modeling” every Spring semester and another online course entitled “Basic and Applied Pharmacokinetics” in the Fall semester through K-State Global Campus. Dr. Wei-Chun Chou is a Research Assistant Professor of the Department of Environmental and Global Health and a member of the Center for Environmental and Human Toxicology (CEHT) at the University of Florida. He received his PhD in Biomedical Engineering and Environmental Sciences from the National Tsing Hua University, Taiwan in 2013. He completed his postdoctoral training in the Institute of Computational Comparative Medicine at Kansas State University in 2021. His research focused on the development of computational models for prediction of chemical toxicity and its application on human health risk assessments without resorting to animal testing. The goals are accomplished by integrating in vitro high-throughput toxicity screening data, physiologically based pharmacokinetic (PBPK) modeling, machine learning and artificial intelligence to quantitatively describe the relationships between environmental exposure and mechanisms that cause adverse effects in human populations. He has received several awards and honors from the Society of Toxicology (SOT), including the Andersen-Clewell Trainee Award of the Biological Modeling Specialty Section and Best Paper Award of Risk Assessment Specialty Section.