Recent years have seen significant advancements in the field of toxicology, driven by technological innovations and a deeper understanding of biological processes. One of the key developments is the use of artificial intelligence and machine learning to predict toxicity. These technologies allow researchers to analyze vast datasets and identify potential toxic effects of chemicals faster and more accurately than traditional methods. Another critical advancement is the development of in vitro models and organ-on-a-chip technologies. These models simulate human organ systems on a microchip, providing a more ethical and efficient way to study the effects of toxins without relying on animal testing.
