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...