AI in Predictive Toxicology

Abstract

The field of toxicology covers a broad range of topics that can be further divided into numerous subfields, including organ systems, nonorgan-directed toxicity. The goal of artificial intelligence, a rapidly growing subfield of computer science, is to create computers or computational model that can perform a diversity of cognitive tasks at a level that is comparable to or even higher than that of human intellect. In this work, “machine learning” refers to the uses of several machine learning techniques in the assessment and forecasting. Within the discipline of artificial intelligence, machine learning encompasses computer or mathematical techniques used to instruct or train a computational model to solve problems or carry out challenging tasks depending on certain input parameters. A branch of artificial intelligence known as “machine learning” studies computer or mathematical techniques that are used to train or educate computational models to carry out complicated tasks.