Drugs aren’t typically tested on women. AI could correct that bias

Researchers at Columbia University have developed AwareDX—Analysing Women At Risk for Experiencing Drug toXicity—a machine learning algorithm that identifies and predicts differences in adverse drug effects between men and women by analyzing 50 years’ worth of reports in an FDA database. The algorithm, described September 22 in the journal Patterns, […]