Machine Learning for Predicting Organ Toxicity

Organ toxicity is a leading concern in safety assessment for regulatory agencies and pharmaceutical companies. Due to the huge amount of compounds and the limitation in animal toxicity testing, alternative and innovative approaches are urgently needed for toxicity assessment. It is a tremendous challenge for organ level toxicity prediction due to the differences among organs and the complicated mechanisms of organ toxicity induction. With the advantages of efficiency and low cost, machine learning methods have been used as promising alternatives for organ toxicity prediction. This chapter reviews the current advances in organ toxicity prediction using machine learning.