Molecular Toxicity Prediction and Machine Learning
With the rapid growth in the number of chemicals, conventional in vivo and in vitro toxicity tests face challenges including high cost, long experimental cycles, and ethical concerns, creating an urgent need for efficient computational toxicology approaches. This review systematically summarizes the application of mach...