Publications
Publications
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2026
Advancing nanomedicine with machine learning: predicting protein corona and nano-bio interactions
Determinants of protein corona adsorption and abundance revealed by interpretable machine learning across nanoparticle systems
Developing a multi-task quantitative structure-activity relationship (QSAR) model for predicting the toxicity potential of chemicals used in e-cigarette products
Development and Human Extrapolation of Physiologically Based Toxicokinetic Models for Chlorinated Polyfluoroalkyl Ether Sulfonates from Rats
Development of machine learning-based multi-task quantitative structure-activity relationship models for predicting toxicities in six human organ systems
Engineering Lipid Nanoparticle Surface Hydrophobicity to Modulate Nano-Bio Interface and Enable Tissue-Selective mRNA Delivery
Toxicophore-informed machine learning integrating Tox21 assay readouts for organ system-specific carcinogenicity prediction
2025
A Machine Learning-Based Clustering Analysis to Explore Bisphenol A and Phthalate Exposure from Medical Devices in Infants with Congenital Heart Defects
Advancing non-target analysis of emerging environmental contaminants with machine learning: Current status and future implications
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
Effects of Serum Insulin and Insulin-Like Growth Factor 1 Levels on the Association between Fetal Growth and Per- and Polyfluoroalkyl Substance Exposure Based on a Nested Case–Control Study
Machine learning and artificial intelligence in nanomedicine
Meta-analysis and machine learning prediction of protein corona composition across nanoparticle systems in biological media
DOI Front CoverTransfer learning enables robust prediction of cellular toxicity from environmental micro- and nanoplastics
2024
Adverse outcome pathway for the neurotoxicity of Per-and polyfluoroalkyl substances: A systematic review
Development of a Physiologically Based Pharmacokinetic (PBPK) Model for F-53B in Pregnant Mice and Its Extrapolation to Humans
Development of a rapid aptamer-chemiluminescence sensor for detecting glyphosate pesticide residue in soybeans
Hepatic injury and ileitis associated with gut microbiota dysbiosis in mice upon F–53B exposure
Impact of protein coronas on nanoparticle interactions with tissues and targeted delivery
LncRNA NR_030777 promotes mitophagy by targeting CDK1-related mitochondrial fission and ATG12 to attenuate paraquat-induced Parkinson's disease
Long-term exposure to major constituents of fine particulate matter and neurodegenerative diseases: A population-based survey in the Pearl River Delta Region, China
Physiologically based pharmacokinetic modeling of metal nanoparticles for risk assessment of inhalation exposures: a state-of-the-science expert panel review
Predicting tissue distribution and tumor delivery of nanoparticles in mice using machine learning models
Preface to the special issue of Food and Chemical Toxicology on “New approach methodologies and machine learning in food safety and chemical risk assessment: Development of reproducible, open-source, and user-friendly tools for exposure, toxicokinetic, and toxicity assessments in the 21st century”
DOI PrefaceRebuttal to Correspondence on “Fetal Glucocorticoid Mediates the Association between Prenatal Per- and Polyfluoroalkyl Substance Exposure and Neonatal Growth Index: Evidence from a Birth Cohort Study”
DOI Correspondence
2023
An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice
An integrative analysis of lipidomics and transcriptomics in various mouse brain regions in response to real-ambient PM2. 5 exposure
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)
Fetal Glucocorticoid Mediates the Association between Prenatal Per-and Polyfluoroalkyl Substance Exposure and Neonatal Growth Index: Evidence from a Birth Cohort Study
Human biomonitoring reference values, exposure distribution, and characteristics of metals in the general population of Taiwan: Taiwan environmental survey for Toxicants (TESTs), 2013-2016
Machine learning and artificial intelligence in physiologically based pharmacokinetic modeling
Meta-Analysis of Nanoparticle Distribution in Tumors and Major Organs in Tumor-Bearing Mice
Per-and polyfluoroalkyl substances in ambient fine particulate matter in the Pearl River Delta, China: Levels, distribution and health implications
Prenatal Exposure to Legacy and Alternative Per-and Polyfluoroalkyl Substances and Neuropsychological Development Trajectories over the First 3 Years of Life
2022
A web-based interactive physiologically based pharmacokinetic (iPBPK) model for meloxicam in broiler chickens and laying hens
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
Cumulative risk assessment and exposure characteristics of parabens in the general Taiwanese using multiple hazard indices approaches
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
Integration of toxicogenomics and physiologically based pharmacokinetic modeling in human health risk assessment of perfluorooctane sulfonate
Machine learning and artificial intelligence in toxicological sciences
Mediation effects of thyroid function in the associations between phthalate exposure and lipid metabolism in adults
Predicting nanoparticle delivery to tumors using machine learning and artificial intelligence approaches
2021
Cumulative risk assessment of phthalates exposure for recurrent pregnancy loss in reproductive-aged women population using multiple hazard indices approaches
Development of a gestational and lactational physiologically based pharmacokinetic (PBPK) model for perfluorooctane sulfonate (PFOS) in rats and humans and its implications in the derivation of health-based toxicity values
Human biomonitoring reference values and characteristics of Phthalate exposure in the general population of Taiwan: Taiwan Environmental Survey for Toxicants 2013-2016
Optimization of alkali fusion process for determination of I-129 in solidified radwastes by neutron activation
Study on the correlation of bisphenol A exposure, pro-inflammatory gene expression, and C-reactive protein with potential cardiovascular disease symptoms in young adults
2020
A physiologically based pharmacokinetic model of doxycycline for predicting tissue residues and withdrawal intervals in grass carp (Ctenopharyngodon idella)
Assessing dietary exposure risk to neonicotinoid residues among preschool children in regions of Taiwan
Probabilistic human health risk assessment of perfluorooctane sulfonate (PFOS) by integrating in vitro, in vivo toxicity, and human epidemiological studies using a Bayesian-based dose-response assessment coupled with PBPK modeling
2019
Bayesian evaluation of a physiologically based pharmacokinetic (PBPK) model for perfluorooctane sulfonate (PFOS) to characterize interspecies uncertainty between mice, rats, monkeys, and humans
MCP-1/MCPIP-1 signaling modulates the effects of IL-1β in renal cell carcinoma through ER stress-mediated apoptosis
PM2.5-and PM10-bound polycyclic aromatic hydrocarbons (PAHs) in the residential area near coal-fired power and steelmaking plants of Taichung City, Taiwan: In vitro-based health risk and source identification
Prioritization of pesticides in crops with a semi-quantitative risk ranking method for Taiwan postmarket monitoring program
Edited Books & Book Chapters
Application of machine learning and artificial intelligence methods in physiologically based pharmacokinetic modeling
Application of machine learning and artificial intelligence methods in the predictions of absorption, distribution, metabolism, and excretion properties of chemicals
Applications of machine learning and artificial intelligence in toxicology and environmental health
Basics of machine learning and artificial intelligence methods in toxicology and environmental health
Machine Learning and Artificial Intelligence in Toxicology and Environmental Health
Bisphenol A—toxicity and risk assessment update with academic and regulatory perspectives and physiologically based pharmacokinetic modeling (3rd Edition)
PBPK model calibration, evaluation, and performance assessment
For publications before 2019, please refer to Google Scholar.
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