Personalizing drug development using big data

A new computer program developed at the University of Arizona College of Medicine—Tucson and recently licensed to startup INTelico Therapeutics, LLC, is pushing the envelope of precision medicine. By integrating the genetic information from millions of patients, researchers are able to use the new technology to predict the effects of personalized courses of drug therapy based on an individual’s unique genetic makeup.

The program brings together big data from large patient populations and builds groups based on individual genetic makeup and how individuals respond to various medications. Researchers are then able to take genetic data from new patients and align it to these historic groups, allowing them to predict how diseases will progress in new patients, as well as how they will respond to therapies.

Author: Alison Mairena

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