Regulatory agencies like the FDA and EPA are increasingly relying on big data to make informed decisions. Big data helps in developing Adverse Outcome Pathways (AOPs), which are detailed descriptions of the biological mechanisms leading to adverse effects. These AOPs are crucial for regulatory risk assessments. Moreover, computational toxicology models developed from big data can be used to predict the toxicity of new chemicals, potentially reducing the need for extensive animal testing.
