How can data science improve regulatory toxicology?
Data science can improve regulatory toxicology by streamlining the evaluation process of chemicals and reducing the reliance on animal testing. Advanced models and simulations can predict toxicological outcomes, helping regulatory agencies make informed decisions. Moreover, data science can facilitate the development of alternative testing methods that are both ethical and cost-effective, aligning with the principles of 3Rs: Replacement, Reduction, and Refinement.
