Stanford’s Monica Agrawal and Jure Leskovecand Marinka Zitnik used AI to study the body’s underlying cellular machinery and predict side effects of drug combinations. There are about 1,000 known side effects and 5,000 drugs on the market, making nearly 125 billion possible side effects between all possible pairs of drugs.
The team created a network describing how the 19,000 proteins in our bodies interact with each other and how different drugs affect them. Using more than 4 million known associations between drugs and side effects, they designed a method to identify patterns in how side effects arise based on how drugs target different proteins.
Join ApplySci at the 9th Wearable Tech + Digital Health + Neurotech Bostonconference on September 24, 2018 at the MIT Media Lab. Speakers include: Rudy Tanzi– Mary Lou Jepsen– George Church– Roz Picard– Nathan Intrator– Keith Johnson– Juan Enriquez– John Mattison– Roozbeh Ghaffari– Poppy Crum – Phillip Alvelda –Marom Bikson