What Role Does Machine Learning Play in Toxicology?
Machine Learning (ML) is a subset of artificial intelligence that is increasingly being employed in toxicology to predict adverse effects of chemicals. It helps in:
- Predictive Modeling: ML algorithms can predict the toxicity of new compounds by learning from existing data. This approach significantly speeds up the identification of potentially hazardous substances.
- Pattern Recognition: ML techniques can identify patterns in complex datasets, aiding in the discovery of new biomarkers for toxicity and enhancing the understanding of dose-response relationships.
