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Machine Learning Application in Enhancing HIV Management and Treatment Outcomes: Revolutionizing HIV Infection.

Hadi Ghasemi1, Ava Hashempour1, Saied Ghorbani2

  • 1HIV/AIDS Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran.

Current HIV Research
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PubMed
Summary

Artificial Intelligence (AI) and Machine Learning (ML) offer new ways to fight HIV/AIDS. These technologies can improve early detection, personalize treatment, and speed up drug discovery for better patient outcomes.

Keywords:
AIDSArtificial intelligenceantiretroviral therapy.deep learninghuman immunodeficiency virusmachine learning

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Area of Science:

  • Infectious Diseases
  • Computational Biology
  • Public Health

Background:

  • HIV/AIDS remains a major global health issue affecting over 38 million people.
  • Challenges in HIV/AIDS management include delayed diagnosis, poor treatment adherence, and drug resistance.
  • Antiretroviral Therapy (ART) has advanced, but significant obstacles persist.

Purpose of the Study:

  • To review the potential of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) in HIV/AIDS.
  • To explore how AI/ML/DL can enhance prevention, diagnosis, and treatment strategies.
  • To highlight AI's role in drug discovery and personalized medicine for HIV/AIDS.

Main Methods:

  • Utilized diverse ML methodologies (supervised, unsupervised, reinforcement learning).
  • Employed DL frameworks including convolutional and recurrent neural networks.
  • Incorporated emerging technologies like pharmacogenomics, digital twins, and AI-powered virtual screening.

Main Results:

  • Achieved enhanced diagnostic accuracy and real-time patient monitoring.
  • Enabled more personalized therapeutic strategies and optimized ART regimens.
  • Facilitated predictive epidemiological modeling and resource allocation for public health.

Conclusions:

  • AI and ML offer transformative potential for more effective and equitable HIV/AIDS management.
  • These technologies can accelerate drug discovery and repurposing for novel antiviral agents.
  • AI-driven interventions pave the way for precision medicine and improved global health outcomes in HIV/AIDS care.