Zhoumeng Lin

Associate Professor

University of Florida

United States

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Zhoumeng Lin is an Associate Professor at the University of Florida, USA. His research focuses on the application of physiologically based pharmacokinetic modeling, exploring drug exposure in various biological systems, and employing machine learning techniques in nanomedicine. Recent publications include studies on lactation modeling, the pharmacokinetics of tyrosine kinase inhibitors, and chemical risk assessment in food animals, highlighting his expertise in pharmacokinetics and environmental health.

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2022

Collaborators (8)

Michael Kleinhenz

Texas A&M University

UNITED STATES

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Lisa Tell

department of epidemiology and biostatistics university of california san francisco san francisco california usa

UNITED STATES

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Wei-Chun Chou

Research Assistant Professor

University of Florida

UNITED STATES

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Majid Jaberi-Douraki

UNITED STATES

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Ronald Baynes

UNITED STATES

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Xuan Xu

UNITED STATES

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Nancy Monteiro-Riviere

Professor Investigative Dermatology and Toxicology

North Carolina State University

UNITED STATES

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Patrick J. Gorden

UNITED STATES

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Zhoumeng Lin

Research Interests

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Articles (28)

Application of Lactation Physiologically Based Pharmacokinetic Modeling to Predict Milk Exposure of Passively Diffused Drugs

A Physiologically Based Pharmacokinetic Model of an Oral Tyrosine Kinase 2 Inhibitor Deucravacitinib in Healthy Adults

Mechanistic Modeling of Size and Surface Charge Changes of Gold and Silver Nanoparticles during In Vitro Nanoparticle Protein Corona Formation

Machine Learning and Artificial Intelligence in Nanomedicine

An open-source interactive physiologically based pharmacokinetic model of tylosin in broiler chickens and laying hens

A Machine Learning–Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects

Comparisons of PK-Sim and R program for physiologically based pharmacokinetic model development for broiler chickens and laying hens: meloxicam as a case study

Chemical risk assessment in food animals via physiologically based pharmacokinetic modeling – Part II: Environmental pollutants on animal and human health assessments

Development of a physiologically based pharmacokinetic model for flunixin in cattle and swine following dermal exposure

Development of machine learning-based quantitative structure–activity relationship models for predicting plasma half-lives of drugs in six common food animal species

Residue depletion profiles and withdrawal intervals of florfenicol and its metabolite florfenicol amine in plasma and milk of lactating goats after repeated subcutaneous administrations

Physiologically based pharmacokinetic modeling of metal nanoparticles for risk assessment of inhalation exposures: a state-of-the-science expert panel review

Exploring the potential and challenges of developing physiologically-based toxicokinetic models to support human health risk assessment of microplastic and nanoplastic particles

Impact of protein coronas on nanoparticle interactions with tissues and targeted delivery

Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling

Development of machine learning algorithms to estimate maximum residue limits for veterinary medicines

Pharmacokinetics and tumor delivery of nanoparticles

Pharmacokinetics, Milk Residues, and Toxicological Evaluation of a Single High Dose of Meloxicam Administered at 30 mg/kg per os to Lactating Dairy Cattle

Development and application of an interactive generic physiologically based pharmacokinetic (igPBPK) model for adult beef cattle and lactating dairy cows to estimate tissue distribution and edible tissue and milk withdrawal intervals for per- and polyfluoroalkyl substances (PFAS)

Pharmacokinetics, tissue residue depletion, and withdrawal interval estimations of florfenicol in goats following repeated subcutaneous administrations

Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice

Development of a multi-route physiologically based pharmacokinetic (PBPK) model for nanomaterials: a comparison between a traditional versus a new route-specific approach using gold nanoparticles in rats

Machine Learning and Artificial Intelligence in Toxicological Sciences

An Interactive Generic Physiologically Based Pharmacokinetic (igPBPK) Modeling Platform to Predict Drug Withdrawal Intervals in Cattle and Swine: A Case Study on Flunixin, Florfenicol, and Penicillin G

Integration of In Vitro and In Vivo Models to Predict Cellular and Tissue Dosimetry of Nanomaterials Using Physiologically Based Pharmacokinetic Modeling

Toxicokinetics, dose–response, and risk assessment of nanomaterials: Methodology, challenges, and future perspectives

A web-based interactive physiologically based pharmacokinetic (iPBPK) model for meloxicam in broiler chickens and laying hens

Collaborators (8)

Michael Kleinhenz

Lisa Tell

Wei-Chun Chou

Majid Jaberi-Douraki

Ronald Baynes

Xuan Xu

Nancy Monteiro-Riviere

Patrick J. Gorden

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