Researchers at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), the University of Southern California, and Pennsylvania State University have developed an artificial intelligence (AI) system than can help lower the risk of human immunodeficiency virus (HIV) transmission in high-risk communities.
The team partnered with social workers at three drop-in centers for homeless youth, where they enlisted more than 700 participants for the study.
The scientists mapped participants' social networks, and used their algorithm to identify leaders with diverse links across different network clusters; these leaders were trained on HIV prevention and promotion of preventive strategies by communicating with their social ties at the drop-in centers.
Youth enrolled in the AI-assisted CompreHensive Adaptive Network samplinG for social influencE (CHANGE) strategy were less likely to practice unprotected sex than enrollees in an observation-only cohort.
From The Harvard Gazette
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
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