UNIVERSITY OF CALIFORNIA BERKELEY
Targeted Machine Learning to evaluate and optimize HIV prevention strategies in cluster randomized trials
Targeted Machine Learning to evaluate and optimize HIV prevention strategies in cluster randomized trials is a funding opportunity from UNIVERSITY OF CALIFORNIA BERKELEY, up to 759816, closing January 31, 2031.
Jan 31, 2031
(1645d left)Overview
PROJECT SUMMARY/ABSTRACT Globally, there were 1.3 million new HIV infections in 2023, despite expanded access to biomedical HIV prevention products with high efficacy. Implementation strategies are needed to expand the reach of HIV risk screening and to facilitate the use of biomedical prevention among persons with…