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Big Pharma bets on AI to speed up clinical trials
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INSIGHT-Big Pharma bets on AI to speed up clinical trials
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Major drugmakers are using artificial intelligence to find patients for clinical trials quickly, or to reduce the number of people needed to test medicines, both accelerating drug development and potentially saving millions of dollars. Human studies are the most expensive and time-consuming part of drug development as it can take years to recruit patients and trial new medicines in a process that can cost over a billion dollars from the discovery of a drug to the finishing line. Pharmaceutical companies have been experimenting with AI for years, hoping machines can discover the next blockbuster drug.
FDA Blazes Path for Real-World Evidence as Proof of Efficacy
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IMAGE: Murray Stein, MD, MPH, Distinguished Professor of Psychiatry and Family Medicine and Public Health at UC San Diego School of Medicine. view more
Credit: UC San Diego Health Sciences
After analyzing the genomes of more than one-quarter of a million military veterans, a team of scientists, led by researchers at University of California San Diego, Veterans Affairs San Diego Healthcare System (VASDHS), Yale University and West Haven VA, have identified 18 specific, fixed positions on chromosomes (known as loci) that appear associated with post-traumatic stress disorder (PTSD).
The findings validate the underlying biology of PTSD, its relationship to comorbid anxiety and depressive disorders and provide potential new targets for treatment, write the authors in the January 28, 2021 online issue of