Methylsulfonylmethane clinical trials at University of California Health
1 research study open to eligible people
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uTECH: Machine Learning for HIV Prevention Among Substance Using GBMSM
open to eligible males ages 18 years and up
This project seeks to develop and test the acceptability, appropriateness and feasibility of uTECH, a novel social media "big data" machine learning intervention for HIV-negative substance-using sexual and gender minority people who have sex with men that aims to reduce HIV transmission risk by integrating biomedical and behavioral risk reduction strategies, including pre-exposure prophylaxis (PrEP) for HIV prevention and medication assisted treatment (MAT) for substance use harm reduction
at UCLA
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