How is computational toxicology changing the field?
Computational toxicology combines the power of bioinformatics, computer science, and toxicology to predict the toxicity of chemicals. By using large datasets and machine learning algorithms, scientists can model and predict how chemicals will interact with biological systems. This approach not only speeds up the testing process but also provides insights that are not possible through traditional experimental methods. Computational tools can identify potential hazards and prioritize chemicals for further testing, streamlining the risk assessment process.
