How Does High Throughput Screening Contribute to Predictive Toxicology?
Predictive toxicology aims to forecast the adverse effects of substances before they are observed in traditional studies. HTS contributes to this field by generating extensive datasets that can be used to build computational models. These models incorporate data from various assays to predict potential toxicities and prioritize compounds for further testing. By improving the accuracy of these predictions, HTS helps to minimize the risk of unexpected toxic effects in humans and the environment.
