Virtual safety panel predicts drugs' side effects

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A team of scientists from the UCSF School of Pharmacy, Novartis Institutes for Biomedical Research (NIBR) and SeaChange Pharmaceuticals has developed a set of computer models that can predict negative side effects associated with existing drugs. By speeding up the process and increasing accuracy, the software could potentially save billions in research and decrease the number of animals used in toxicity tests... Continue Reading Virtual safety panel predicts drugs' side effects

Section: Health and Wellbeing

Tags: Drugs, Medical, Software, Testing

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