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Arti​ficial Intelligence in Toxicology and Environmental Health
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The course covers fundamental principles and methods of machine learning and AI applied to toxicology and environmental health. It includes PBPK modeling, QSAR toxicity prediction, and assessments of air pollution and ecotoxicology using advanced ML/AI tools.
Instructor: Wei-Chun Chou
Course Number: ENTX/ENSC 209
Location: Riverside Campus | Science Lab 1 | Room 301
Risk Assessment
An introduction to the basic principles and methods by which health risks associated with exposure to chemical and physical agents are determined. Topics include hazard identification, dose response, exposure assessments, risk characterization, and management.
Instructor: Wei-Chun Chou
Course Number: ENTX/ENSC 154
Location: Riverside Campus | Science Lab 1 | Room 301
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