[ASAP] Actionable Predictions of Human Pharmacokinetics at the Drug Design Stage

AI Summary

This article discusses the development of a method to predict human pharmacokinetics at the drug design stage. This has significant implications for the pharmaceutical industry as it can aid in the development of more effective and safe drugs. The use of computational models to make actionable predictions in pharmacokinetics can potentially streamline the drug development process and reduce costs. The DOI provided allows access to the full study for further details.