Publications by authors named "Pengcheng Liao"
Environ Pollut
February 2024
Article Synopsis
- Increased chemical production poses ecological health risks, and traditional assessment methods struggle to evaluate chronic toxicity effectively.
- This study utilized machine learning (ML) to develop quantitative structure-activity relationship (QSAR) models that predict chronic toxicity in aquatic organisms based on molecular characteristics.
- Results indicated that SlogP and exposure duration are key factors influencing toxicity, with the model being validated using bisphenol A, highlighting its robustness for assessing environmental pollution risks.
