This report outlines best practices in toxicology to support safer and more efficient drug development, covering toxicity assessment approaches, regulatory considerations, and the use of data and emerging methods to improve preclinical decision-making.
Key takeaways:
- Early, data-driven toxicity assessment improves candidate selection and reduces late-stage failure
- Integration of in silico, in vitro, and in vivo methods enhances predictive accuracy
- Alignment with evolving regulatory expectations is critical
- Leveraging real-world data and advanced analytics supports better risk evaluation
- Cross-functional collaboration accelerates safer development decisions