NLP can be applied in toxicology in several ways, including:
Data Extraction: NLP techniques can be used to extract relevant information from large volumes of unstructured data such as scientific papers, regulatory documents, and clinical reports. This can help in identifying toxic substances and understanding their effects. Predictive Modeling: By using NLP to analyze past cases of exposure and outcomes, predictive models can be developed to forecast potential toxicological risks. Adverse Event Detection: NLP can help in monitoring social media, medical records, and other sources to detect and analyze adverse events related to toxic substances in real-time. Knowledge Discovery: NLP can assist in identifying new relationships between chemicals, their properties, and their toxicological effects by mining vast amounts of text data.
