Machine Learning Promises to Accelerate Metabolism Research
"We don't always know the source of the variation," said Daniel Raftery, professor of anesthesiology and pain medicine at the University of Washington School of Medicine in Seattle.
"We don't always know the source of the variation," said Daniel Raftery, professor of anesthesiology and pain medicine at the University of Washington School of Medicine in Seattle.
Researchers at the Institute of Psychiatry, Psychology & Neuroscience (IoPPN) at King’s College London found that people living with long-term conditions who received the therapist-guided digital programme called COMPASS showed a significant reduction in psychological distress (a combined score of anxiety and depression) 12-weeks after starting the study.
Today, scientists use advanced technology to design new synthetic drug compounds with the right properties and characteristics, also known as "de novo drug design." However, current methods can be labor-, time-, and cost-intensive.
The use of the AI to successfully predict patient outcomes would allow clinicians to be better informed for planning the next stage of treatment and refer patients to potentially life-saving treatment quicker.