opioid – UF Innovate

AI-Powered Clinical Tool Aims To Prevent Opioid Disorder Relapse (UF Pharmacy)

sooyoungryu — Mon, 13 Oct 2025 19:09:59 +0000

An AI-powered clinical support tool will help prevent relapse in patients receiving buprenorphine treatment for opioid use disorder — a condition that affects hundreds of thousands of people in America every year.

The PROTECT tool, devised by researchers at the University of Florida and the University of Pittsburgh with a $3.6 million grant from the National Institutes of Health and the National Institute on Drug Abuse, uses machine learning algorithms to identify buprenorphine patients who are at high risk of relapsing and provides recommendations for next steps.

UF Scripps Study: Opioid Drug Tolerance Develops From Interplay of Key Gene and Cholesterol

Sara Dagen — Tue, 23 Aug 2022 00:00:00 +0000

UF Scripps Biomedical Research scientists have discovered a key gene that is shedding light on how people develop tolerance to pain-relievers over time, a problem that raises risk of addiction and overdose.

The finding could open the door to a new generation of pain medications designed to function differently, and lower the chance patients could grow dependent on opioids and other drugs like morphine and fentanyl.

People who suffer severe pain from stroke, trauma or cancer know that over time, the most effective prescription pain relievers lose power, said UF Scripps neuroscientist Kirill Martemyanov, Ph.D. To provide patients with the same pain-relieving effect, doctors often must prescribe higher and higher doses.

Learn more about UF Scripps Study: Opioid Drug Tolerance Develops From Interplay of Key Gene and Cholesterol

AI Tool Will Predict Patients at High Risk for Opioid Use Disorder and Overdose

Sara Dagen — Fri, 12 Nov 2021 00:00:00 +0000

University of Florida researchers are developing a new artificial intelligence tool that will help clinicians identify patients at high risk for opioid use disorder and overdose.

The tool will use data from patients’ electronic medical records to guide clinicians in safely and effectively prescribing opioid medications. The project is supported by a five-year, $3.2 million grant from the National Institute on Drug Abuse, or NIDA, and aims to reduce the unprecedented rise in opioid overdose and opioid use disorder in the United States.