prep-ai-recommendations

https://github.com/wtepsan/prep-ai-recommendations

Science Score: 44.0%

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Host: GitHub
Owner: wtepsan
Default Branch: main
Size: 2.03 MB

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Created about 1 year ago · Last pushed about 1 year ago

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Readme Citation

A Framework Integrating Machine Learning and Generative AI for Optimizing HIV Pre-Exposure Prophylaxis (PrEP) Uptake and Recommendations

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Abstract

Pre-exposure prophylaxis (PrEP)—the use of antiretroviral medication to prevent HIV infection in high-risk individuals—represents a major advancement in HIV prevention. Yet despite its proven efficacy, PrEP uptake and adherence remain suboptimal. Several factors contribute to this issue, ranging from individual barriers, such as limited awareness and fear of side effects, to interpersonal challenges, including stigma and lack of social support. Additionally, broader structural obstacles, such as community stigma, restricted access to services, and healthcare workforce shortages, further hinder its widespread adoption. These multifaceted hurdles underscore the need for innovative solutions beyond traditional public health approaches. In this context, advanced machine learning (ML) and generative artificial intelligence (Gen AI) tools offer a transformative means to address these barriers. ML enables refined risk stratification by integrating demographic, behavioral, and clinical data, while Gen AI delivers tailored outreach and education—mitigating stigma and addressing concerns through precise, adaptive communication. To harness these capabilities, this study develops and evaluates an integrated framework that combines ML-based risk prediction with Gen AI–driven recommendations. The framework’s accuracy, reliability, and clinical applicability are rigorously assessed through empirical data analyses and expert reviews, demonstrating its potential to empower healthcare providers with interpretable, data-driven insights. By streamlining resource allocation, enhancing patient engagement, and fostering personalized care, this integrative approach aims to substantially improve PrEP uptake and adherence—ultimately reinforcing the global fight against HIV.

Keywords:

Pre-exposure prophylaxis (PrEP), HIV prevention, Machine learning, Generative artificial intelligence (Gen AI), Risk prediction, Preventive healthcare, Clinical decision-making, Data-driven methods, Healthcare optimization.

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Owner

Name: Worawit Tepsan
Login: wtepsan
Kind: user

Repositories: 1
Profile: https://github.com/wtepsan

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this work, please cite it as below."
title: "A Framework Integrating Machine Learning and Generative AI for Optimizing HIV Pre-Exposure Prophylaxis (PrEP) Uptake and Recommendations"
authors:
  - family-names: Phiphatkunarnon
    given-names: Panyaphon
    orcid: "0000-0001-5804-6106"
    email: panyaphon_p@cmu.ac.th
  - family-names: Kitro
    given-names: Amornphat
    orcid: "0000-0003-4435-8090"
    email: amornphat.kit@cmu.ac.th
  - family-names: Suksatit
    given-names: Benjamas
    orcid: "0000-0002-6939-4672"
    email: benjamas.s@cmu.ac.th
  - family-names: Songsiriphan
    given-names: Chaiwat
    email: amanoginji_juice@hotmail.com
  - family-names: Tran
    given-names: Do
    orcid: "0000-0001-7144-1629"
    email: do.tran8@gilead.com
  - family-names: Neo
    given-names: Boon-Leong
    orcid: "0000-0002-6502-050X"
    email: boon-leong.neo@gilead.com
  - family-names: Tepsan
    given-names: Worawit
    orcid: "0000-0001-6423-9633"
    email: worawit.tepsan@cmu.ac.th
    corresponding: true

affiliations:
  - name: International College of Digital Innovation, Chiang Mai University, Chiang Mai, Thailand
  - name: Love Foundation, Chiang Mai, Thailand
  - name: Department of Community Medicine, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
  - name: Environmental and Occupational Medicine Excellence Center, Faculty of Medicine, Chiang Mai University, Chiang Mai, Thailand
  - name: Faculty of Nursing, Chiang Mai University
  - name: Gilead Sciences Inc, CA, US and Singapore
  - name: Safe Clinic, Bangkok

date-released: "2025-02-18"
version: "1.0"
url: "https://github.com/wtepsan/PrEP-AI-Recommendations"

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