Big data is crucial in toxicology for several reasons:
Predictive Modeling: Helps in predicting the toxicity of new compounds before they are introduced into the market. Risk Assessment: Provides more accurate risk assessments by integrating diverse data sources. Personalized Medicine: Aids in tailoring treatments based on individual genetic profiles, reducing adverse drug reactions. Regulatory Compliance: Ensures that companies meet safety standards by providing comprehensive toxicological data.
