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Thursday, September 10, 2020

Computational Models Help Translate Drugs From Animal Studies

Could be a considerable development.    We need better drug development methods now.  And expect considerable pushback here too.

Computational Model Could Improve Success in Translating Drugs From Animal Studies to Humans
Purdue University News
By Kayla Wiles

Researchers from Purdue University and the Massachusetts Institute of Technology created a computational model to help translate drug development from animal studies to people. The TransComp-R model consolidates thousands of measurements from an animal model to a small number of data coordinates for human comparison, highlighting the most relevant sources of biological divergence; scientists could then train other models to anticipate human response to treatment. The researchers used TransComp-R to find an overlooked biological mechanism that may underpin human resistance to the inflammatory bowel disease drug infliximab. Purdue's Doug Brubaker said, "The modeling framework itself can be repurposed to different kinds of animals, different disease areas, and different questions. Figuring out when what we see in animals doesn't track with what's happening in humans could save a lot of time, cost, and effort in the drug development process overall."

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