Weihsueh A. Chiu

Professor

Texas A&M University

United States

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Weihsueh A. Chiu is a Professor at Texas A&M University in the United States. His research focuses on human health risk assessment, toxicokinetics, and exposure science, as evident from his recent publications on bioactivity-exposure ratios, transcriptomic data, and machine learning approaches in toxicological analysis. He employs advanced modeling techniques to evaluate environmental health hazards and improve methods for hazard identification and risk characterization.

Articles (18)

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2025

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2025

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2025

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2023

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2023

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2023

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2023

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2022

Collaborators (7)

Nicolo Aurisano

Technical University of Denmark

DENMARK

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Marthe De Boevre

Ghent University

BELGIUM

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Ivan Rusyn

UNITED STATES

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Han-Hsuan (Doris) TSAI

Texas A&M University

UNITED STATES

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Kerstin von Borries

Technical University of Denmark

DENMARK

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Bumsik Kim

Texas A&M University Transportation Institute

UNITED STATES

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Olivier Jolliet

Technical University of Denmark

DENMARK

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Weihsueh A. Chiu

Research Interests

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About

Articles (18)

A workflow for human health hazard evaluation using transcriptomic data and Key Characteristics-based gene sets

Comparative analysis of Caco-2 cells and human jejunal and duodenal enteroid-derived cells in gel- and membrane-based barrier models of intestinal permeability

Derivation of Human Toxicokinetic Parameters and Chemical-Specific Adjustment Factor of Citrinin Through a Human Intervention Trial and Hierarchical Bayesian Population Modeling

Sensitivity Analysis of the Inputs for Bioactivity-Exposure Ratio Calculations in a NAM-Based Systemic Safety Toolbox

MyEcoReporter: a prototype for artificial intelligence-facilitated pollution reporting

The use of canonical dose–response models for benchmark dose analysis of continuous toxicological data

Probabilistic Reference and 10% Effect Concentrations for Characterizing Inhalation Non-cancer and Developmental/Reproductive Effects for 2,160 Substances

Informing Hazard Identification and Risk Characterization of Environmental Chemicals by Combining Transcriptomic and Functional Data from Human-Induced Pluripotent Stem-Cell-Derived Cardiomyocytes

Two-Stage Machine Learning-Based Approach to Predict Points of Departure for Human Noncancer and Developmental/Reproductive Effects

Evaluating scientific confidence in the concordance of in vitro and in vivo protective points of departure

Invited Perspective: Uneven Progress Addressing Population Variability in Human Health Risk Assessment

Refining risk estimates for lead in drinking water based on the impact of genetics and diet on blood lead levels using the Collaborative Cross mouse population

Community-facing toxicokinetic models to estimate PFAS serum levels based on life history and drinking water exposures

A tiered testing strategy based on in vitro phenotypic and transcriptomic data for selecting representative petroleum UVCBs for toxicity evaluation in vivo

Characterizing vulnerabilities to climate change across the United States

Characterizing vulnerabilities to climate change across the United States

Cancer risk associated with soil distribution of polycyclic aromatic hydrocarbons within three environmental justice neighborhoods in Houston, Texas

Bayesian Estimation of Human Population Toxicokinetics of PFOA, PFOS, PFHxS, and PFNA from Studies of Contaminated Drinking Water

Collaborators (7)

Nicolo Aurisano

Marthe De Boevre

Ivan Rusyn

Han-Hsuan (Doris) TSAI

Kerstin von Borries

Bumsik Kim

Olivier Jolliet

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