It seems like there’s an app for everything these days. You don’t have to leave your house for food, work, or social interaction (though we hope you still do on that last one). Now, we’re getting closer to testing drugs digitally, too. Researchers published a study in npj Digital Medicine in May that used data from 59,000 Mayo Clinic patients’ electronic health records (EHRs), combined with computer modeling, to predict whether 17 existing drugs could help treat symptoms of heart failure. The researchers checked their predictions against existing clinical trial results. They found their digital clinical trials predicted whether or not the drugs could improve several heart failure prognostic markers with about 89% accuracy, according to Nansu Zong, a biomedical informatician at Mayo Clinic and lead author of the study. Because it uses existing data on real-world outcomes of drugs, an approach like this can’t predict outcomes of drug candidates that haven’t gone to market. But it could one day be a screening tool that helps researchers decide whether to repurpose an existing drug to potentially treat a new disease. How might this change drug testing?—CC |