METHODS AND SYSTEMS FOR IMPROVING DRUG INTERACTION PREDICTION AND TREATING BASED ON THE PREDICTIONS

摘要

Examples described herein include methods and systems for improving accuracy of prediction of substance-factor interactions in patients. Example systems may improve drug interaction prediction for a patient taking a drug by comparing computationally predicted changes in AUC for interaction pairs involving the same metabolic pathways as the drug with change in AUC information from clinical data (e.g. clinical studies). A correction factor for use in the computational prediction may be identified which improves the accuracy of the computational predictions relative to the clinical data. The correction factor may be used to provide improved computational predictions of the change in AUC for a drug, when clinical data may be unavailable. There may be no need for a correction factor if a clinical study is available. The improved computational prediction may be used to set and/or change the amount or identity of the drug administered to a patient.