Guest Editor
Duc Nguyen, PhD, University of Tennessee, Knoxville, USA
Submission Status: Open | Submission Deadline: 14 March 2025
BMC Pharmacology and Toxicology is calling for submissions to our Collection on Machine learning for predictive toxicology. Machine learning and deep learning enable efficient, ethical computational modeling for assessing chemical and drug toxicity, reducing the cost and time of drug development. We are inviting submissions focusing on, but not limited to, refining predictive models, improving chemical risk assessment accuracy, and enhancing toxicological screening efficiency, including QSAR, read-across, expert systems, data integration, and novel computational methods in drug development and safety.