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UF Health University of Florida
Dr. Zhoumeng Lin's Lab College of Public Health and Health Professions
Pei-Yu Wu

Pei-Yu Wu

GRADUATE AST-R

Department: Department of Environmental and Global Health
Business Phone: (352) 273-9188
Business Email: peiyu.wu@ufl.edu

On This Page

Publications

Academic Articles

  1. Development of machine learning-based multi-task quantitative structure–activity relationship models for predicting toxicities in six human organ systems

    Journal
    Computational Toxicology.
    Volume/Issue
    37
    [DOI]
    10.1016/j.comtox.2025.100399.
    Publisher’s Site

  2. Toxicophore-informed machine learning integrating Tox21 assay readouts for organ system–specific carcinogenicity prediction

    Journal
    Environmental Pollution.
    Volume/Issue
    390
    [DOI]
    10.1016/j.envpol.2025.127519.
    Publisher’s Site

  3. Application of machine learning and artificial intelligence methods in toxicity assessment of nanoparticles

    Journal
    Machine Learning and Artificial Intelligence in Toxicology and Environmental Health.
    Volume/Issue
    197-232
    [DOI]
    10.1016/b978-0-443-30010-3.00007-6.
    Publisher’s Site

  4. Applications of machine learning and artificial intelligence in toxicology and environmental health

    Journal
    Machine Learning and Artificial Intelligence in Toxicology and Environmental Health.
    Volume/Issue
    1-26
    [DOI]
    10.1016/b978-0-443-30010-3.00003-9.
    Publisher’s Site

  5. A Machine Learning-Empowered Quantitative Structure–Activity Relationship Model for Predicting the Plasma Half-life of Drugs in Dogs

    Journal
    The AAPS Journal.
    Volume/Issue
    28(1)
    [DOI]
    10.1208/s12248-025-01170-2.
    Publisher’s Site

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

    Journal
    Toxicological Sciences.
    Volume/Issue
    203(1):52-66
    [DOI]
    10.1093/toxsci/kfae125.
    Publisher’s Site

  7. An integrated strategy by using long-term monitoring data to identify volatile organic compounds of high concern near petrochemical industrial parks

    Journal
    Science of The Total Environment.
    Volume/Issue
    821
    [DOI]
    10.1016/j.scitotenv.2022.153345.
    Publisher’s Site

Education

  1. Master of Science in Food Safety and Health Risk Assessment

    National Yang Ming Chiao Tung University, Taiwan

Contact Details

Phones:
Business:
(352) 273-9188
Emails:
Business:
peiyu.wu@ufl.edu
Addresses:
Business Street:
2197 MOWRY RD
 GAINESVILLE FL 32611