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Developing Artificial Intelligence Tools for Health Care

AI in health care

Reinforcement Learning, an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, finds a new study by Weill Cornell Medicine and Rockefeller University researchers.

Reinforcement Learning (RL) is a class of machine learning algorithms able to make a series of decisions over time. Responsible for recent AI...

Reducing Risk of Opioid Addiction While Alleviating Pain

reducing opiod addiction

Increasing the levels of chemicals naturally produced in the body called endocannabinoids may thwart the highly addictive nature of opioids such as morphine and oxycodone while maintaining the drugs’ ability to relieve pain, according to Weill Cornell Medicine investigators working with researchers from The Center for Youth Mental Health at NewYork-...

Taming Weed

Graphic of a vape device with smoke forming a triangle around it to mimic a caution sign

While most states have legalized or decriminalized marijuana, regulation is limited, and products range in form from leaves to vapes to edibles and can carry far higher concentrations of psychoactive ingredients than were typical decades ago. How can medicine and public health best address these largely unregulated, readily available and potentially harmful products? 

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Brain Scanning Approach Shows Wiring of Depression

Liston Salience Network

By repeatedly scanning the brains of a small group of patients for a year and a half, Weill Cornell Medicine researchers have identified a distinct pattern of neuronal interactions that appears to predispose some people to developing depression.

Published Sept. 4 in Nature, the work highlights the potential of a new “deep scanning” approach to help predict a person’s...

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