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Xiaowen Wang beside her PBPK research poster and award ribbons.

Xiaowen Wang presents PBPK research at SOT 2026

Xiaowen Wang presented PBPK and intra-arterial drug delivery research and received DDTSS and BMSS recognitions.

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Latest Updates

Chou Lab members together at the SOT 2026 meeting.

Chou Lab at the SOT Annual Meeting

Chou Lab members presented research and received trainee recognitions at the SOT 2026 Annual Meeting in San Diego.

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Participants in discussion at the BMSS mentoring event.

Connecting through BMSS mentoring

The BMSS mentoring event brought together trainees, early-career scientists, and senior members at SOT 2026.

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RAISE@UCR invites Wei-Chun Chou to present on AI in nanomedicine

RAISE@UCR invited Wei-Chun Chou to present on artificial intelligence in nanomedicine on May 2, 2025.

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Machine learning study explores BPA and phthalate exposure in infants

A study in Environmental Health Perspectives examines BPA and phthalate exposure in infants with congenital heart disease undergoing cardiac surgery.

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Review examines machine learning in non-target analysis

A review in Environment International examines machine learning for non-target analysis of emerging environmental contaminants.

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AI and computational modeling for nanomedicine at UCR

Dr. Chou gave a presentation entitled “Advancing Nanomedicine Through Artificial Intelligence (AI)-Driven Computational Modeling and Applications” in Computational Modeling & Machine Learning in Biology & Medicine Workshop at the University of California, Riverside.

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DOD toxic exposures peer review appointment

Dr. Chou has been appointed to the ad hoc scientist reviewer for Airborne Hazards and Burn Pits-1 (AHBPE-1) peer review panel of the FY24 Toxic Exposures Research Program (TERP) for the Department of Defense (DOD). Congressionally Directed Medical Research Programs (CDMRP).

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EPA IRIS chloroform review appointment

Dr. Chou was appointed as an ad hoc scientist reviewer for the EPA Scientific Advisory Board's IRIS Toxicological Review of Chloroform.

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NIH computational modeling review panel

Dr. Chou join the Review Panel of NIH Small Business: Computational, Modeling, and BioData Management.

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Associate editor appointment at Frontiers in Public Health

Dr. Chou accepted the offer from the Journal, Frontiers in Public Health as Associate Editor.

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Computational modeling and AI seminar at UCR

Dr. Chou gave a seminar presentation entitled “Leveraging Computational Modeling and Artificial Intelligence to Advance Environmental Health and Toxicology Research” invited by the Environmental Toxicology Graduate Program at the University of California, Riverside.

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EPA inorganic arsenic review appointment

Dr. Chou has been appointed to the Environmental Protection Agency (EPA) Scientific Advisory Board (SAB) to provide independent advice on the Integrated Risk Information System (IRIS) Toxicological Review of Inorganic Arsenic.

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Wei-Chun Chou joins UC Riverside

Dr. Chou officially joined the Department of Environmental Sciences in the College of Natural & Agricultural Sciences at University of California, Riverside (UCR).

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Interactive PBPK modeling webinar

Dr. Chou gave a webinar presentation entitled “Integrating Machine Learning and Quantitative Structure Activity Relationships (QSAR) Modeling Approaches to Develop Artificial Intelligence (AI)-Assisted Interactive Physiologically Based Pharmacokinetic (iPBPK) Modeling Web Dashboard” for Triple-Sponsored Webinar by Risk Assessment Specialty Section (RASS), Biological Modeling Specialty Section (BMSS) and the American Association of Chinese in Toxicology (AACT).

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PFAS PBPK model for cattle accepted for publication

Dr Chou’s manuscript entitled “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)” has been accepted by Food and Chemical Toxicology.

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AI-assisted nanoparticle PBPK model accepted for publication

Dr Chou’s manuscript entitled “An artificial intelligence-assisted physiologically-based pharmacokinetic model to predict nanoparticle delivery to tumors in mice” has been accepted by Journal of Controlled Release.

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AI and PBPK modeling webinar for EMBSI

Dr. Chou gave a webinar presentation entitled “Machine learning and artificial intelligence in toxicology and physiologically based pharmacokinetic modeling in supporting chemical and nanoparticle toxicity and dosimetry assessment” for ExxonMobil Biomedical Sciences (EMBSI).

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Exposure science guest lecture at the University of Florida

Dr. Chou gives a guest lecture entitled “An introduction to computational modeling and artificial intelligence in exposure science and its application in Environmental Chemicals, animal drugs, and nanomedicine” for the course “PHC 6702: Environmental Monitoring and Exposure Assessment” at UF. (04/05/2023)

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Election as BMSS Councilor

Dr. Chou was elected as a Councilor of the Biological Modeling Specialty Section of Society of Toxicology.

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Nanoscience and Advanced Materials Best Publication Award

Best Publication Award of the Year 2022 presented by Nanoscience and Advanced Materials Specialty Section; Recipients: Dr. Chou and Dr. Zhoumeng Lin; Title of the publication “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”.

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Transfer learning for micro- and nanoplastic toxicity

A study led by Kunpeng Chen applies transfer learning to predict cellular toxicity from environmental micro- and nanoplastics.

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Alexa Canchola receives SCCSOT Travel Award

Alexa Canchola received the Southern California Chapter of the Society of Toxicology (SCCSOT) Travel Award.

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Wei-Chun Chou receives AACT JOINN Biomere award

Wei-Chun Chou received the AACT JOINN Biomere Outstanding Young Toxicologist Award.

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BMSS Best Paper Award for 2023

Dr. Chou received the Best Paper Award of the Year 2023 presented by the Biological Modeling Specialty Section during the Society of Toxicology annual conference in 2024.

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