Topics and Expertise: machine learning

Training computers to think more like scientists

Michael Keiser, PhD, and Kangway Chuang, PhD, want to use machine learning to speed the pace of drug discovery. By digging into the work of another lab, the pair realized how machine learning could lead scientists astray—and came up with methods to avoid its worst pitfalls.

Update from the Dean – March 2018

A new PharmD curriculum; Implementing new practice opportunities for pharmacists; PharmD students shine in state and national clinical pharmacy competitions; A pioneer in pharmacogenomics; The NIH streak lives on; Improving adverse event reporting and medication therapy protocols; Big-data to cut...