Revolutionizing Drug Safety: Machine Learning in Predictive Toxicology In the realm of drug development, ensuring the safety of new compounds is crucial to protect patient health and advance medical science. Traditional toxicology testing methods are time-consuming, costly, and often fail to accurately predict adverse effects. However, the emergence of machine learning (ML) is revolutionizing predictive toxicology, offering innovative solutions to enhance the...