Methylsulfonylmethane clinical trials at UCLA
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uTECH: Machine Learning for HIV Prevention Among Substance Using GBMSM
Sorry, in progress, not accepting new patients
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
Los Angeles, California
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