What is the Future of Bayesian Models in Toxicology?
The future of Bayesian models in toxicology is promising, with advancements in computational tools and methodologies making these models more accessible. The integration of Bayesian approaches with machine learning and artificial intelligence holds potential for even more powerful predictive models. Furthermore, the increasing availability of large datasets through high-throughput screening technologies offers opportunities to refine and validate Bayesian models, enhancing their role in regulatory toxicology.
