UCSF

Tagged: 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.

Keiser receives $2.5 million to apply machine learning towards new therapies for Alzheimer’s, Parkinson’s

Michael Keiser, PhD, received a Ben Barres Early Career Acceleration Award from the Chan Zuckerberg Initiative, which will fund his research into novel therapies for neurodegeneration.

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 drug discovery time; Computational approaches target dopamine receptors; Researchers expose industry manipulation of science by sugar industry; Women in science; Bioengineering devices to treat glaucoma, diabetes, kidney disease; Campus activism on DACA; A helping hand to Puerto Rico, Basic science scholarship for women in developing nations; A decade of science camp; Honors and awards; 2017 Distinguished Alumnus of the Year; 2018 Mary Anne Koda-Kimble Seed Award for Innovation; 2018 Byers Award in Basic Science; Chan Zuckerberg Biohub Investigators; New faculty; Remembering C.C. Wang; UCSF fundraising campaign; Alumni Weekend 2018.

UCSF School of Pharmacy joins data-sharing partnership to speed cancer drugs

A pioneering public/private consortium is poised to turn the marathon of drug discovery into a team relay, maybe even a short one.