Deep Learning Could End Testing New Drugs On Animals By Alexandra Ossola
Discovering a new drug is no easy task. Once scientists have isolated or synthesized a particular compound, they then have to figure out what it’s good for. To make sure it works, they conduct experiments in petri dishes, then in mice, then in larger mammals, and eventually in humans—a (pricey) gauntlet that just 6 percent of drugs pass through. Big data analytics company In Silico Medicine wants to change all that. Using a deep learning technique that can analyze how compounds affect cells, the researchers can not only determine what new drugs could be used to treat, but also its dose and possible side effects on other parts of the body. The researchers published a proof of concept study today in the American Chemical Society journal Molecular Pharmaceutics. Since 2012…
Link to Full Article: Deep Learning Could End Testing New Drugs On Animals By Alexandra Ossola
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