New MSU study shows innovative machine learning techniques more accurately monitor PFAS in Michigan drinking water
EAST LANSING, Mich. — Newly published research from Michigan State University scientists demonstrates how regionally specific machine learning-based modeling more effectively monitors levels of per- and polyfluoroalkyl (PFAS) chemicals in Michigan drinking water compared to nationwide models. Findings were published in the journal Water Research. The project was led by A. Pouyan Nejadhashemi, MSU Foundation Professor in the …