In a National Institutes of Health (NIH)-funded study, researchers developed a cancer assessment tool that can identify high-risk patients and the tumor cells linked to that risk. The model, called scSurvival, uses a machine learning framework designed to analyze large-scale data at single-cell resolution.

Researchers at the National Institutes of Health (NIH) have identified a novel, highly potent opioid that shows potential as a therapy for both pain and opioid use disorder. In a study published in Nature, the team observed the new drug’s effect in laboratory animals. They showed that it has high pain-relieving effects without causing respiratory depression, tolerance or other indicators of potential for addiction in humans.

In a clinical trial supported by the National Institutes of Health (NIH), a research team found that administering weekly injectable extended-release buprenorphine for treatment of opioid use disorder (OUD) during pregnancy led to higher rates of abstinence from illicit opioids than buprenorphine given daily under the tongue (sublingual), one of the standard methods of treatment. Additionally, serious adverse events were less common in those receiving extended-release treatment. The findings, which support the use of this formulation of buprenorphine for treating OUD during pregnancy, were published in JAMA Internal Medicine.

A team of researchers funded by the National Institutes of Health (NIH) have developed an artificial intelligence (AI) tool that provides decision support to clinicians by predicting if patients are at risk of intimate partner violence (IPV). Using data routinely collected during medical visits, the team trained a machine-learning model, a type of AI, that was highly accurate in detecting IPV among patients in a study.  

A research team funded by the National Institutes of Health (NIH) has developed a versatile machine learning model that could one day greatly expand what medical scans can tell us about disease. Scientists used their tool, named Merlin, to assess 3D abdominal computed tomography (CT) scans, accomplishing tasks as simple as identifying anatomical features to as complex as predicting disease onset years in advance. Despite being developed as a general-purpose CT model, Merlin surpassed a gauntlet of similar automated tools in tasks they were specifically built to handle.