Wei-Chun Chou University of Florida

Wei-Chun Chou

Research Assistant Professor

w.chou@ufl.edu
  • Gainesville FL UNITED STATES
  • College of Public Health and Health Professions

Wei-Chun Chou’s expertise is in bioinformatics, risk assessment and computational toxicology to address key risk assessment issues.

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Biography

Wei-Chun Chou is a research assistant professor in the Department of Environmental and Global Health in the College of Public Health and Health Professions. His research focuses on bioinformatics, risk assessment and computational toxicology to address key risk assessment issues without resorting to animal testing. Currently, his research interest includes investigating the association between nanoparticles’ physicochemical properties and tissue distribution, utilizing machine learning, deep learning and AI approach.

Areas of Expertise

Computational Toxicology
Machine Learning and Applications
Chemical Risk Assessment

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Articles

Predicting Nanoparticle Delivery to Tumors Using Machine Learning and Artificial Intelligence Approaches

International Journal of Nanomedicine

Zhoumeng Lin, et al.

2022-03-24

Low delivery efficiency of nanoparticles (NPs) to the tumor is a critical barrier in the field of cancer nanomedicine. Strategies on how to improve NP tumor delivery efficiency remain to be determined. This study analyzed the roles of NP physicochemical properties, tumor models, and cancer types in NP tumor delivery efficiency using multiple machine learning and artificial intelligence methods, using data from a recently published Nano-Tumor Database that contains 376 datasets generated from a physiologically based pharmacokinetic (PBPK) model.

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Integration of Toxicogenomics and Physiologically Based Pharmacokinetic Modeling in Human Health Risk Assessment of Perfluorooctane Sulfonate

Ecotoxicology and Public Health

Qiran Chen, et al.

2022-02-23

Toxicogenomics and physiologically based pharmacokinetic (PBPK) models are useful approaches in chemical risk assessment, but the methodology to incorporate toxicogenomic data into a PBPK model to inform risk assessment remains to be developed. This study aimed to develop a probabilistic human health risk assessment approach by integrating toxicogenomic dose–response data and PBPK modeling using perfluorooctane sulfonate (PFOS) as a case study.

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Cumulative risk assessment of phthalates exposure for recurrent pregnancy loss in reproductive-aged women population using multiple hazard indices approaches

Environmental International

Wei-Hsiang Chang, et al.

2021-09-01

Phthalates, which are commonly used in flexible plastics and consumer products, have been reported to be toxic to reproductive and developmental function in mammals. Past studies have focused on the toxic effects on male reproduction, with only a few studies conducted on the risks that cumulative exposure to phthalates have on the female reproductive system.

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  • English

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