Prevention, Evaluation, and Control of HIV Infection

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Microbiology".

Deadline for manuscript submissions: 30 June 2025 | Viewed by 258

Special Issue Editor


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Guest Editor
Infectious Diseases Unit, 1st Internal Medicine Department, AHEPA University Hospital, School of Medicine, Aristotle University of Thessaloniki, 55436 Thessaloniki, Greece
Interests: HIV-1 infection; immunology of infection; COVID-19; bacterial infections; nosocomial infections
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Special Issue Information

Dear Colleague,

In the current global health landscape, it is crucial that we continuously undertake scientific research, develop innovative strategies, and engage in collaborative efforts in order to effectively prevent, evaluate, and control HIV infection. Despite the significant advancements made in the fight against HIV/AIDS over the years, this disease continues to impose a substantial burden on public health worldwide, particularly within vulnerable and marginalized communities.

To foster further progress and share the latest research findings on this subject, we are delighted to announce a Special Issue dedicated to the "Prevention, Evaluation, and Control of HIV Infection”, which will provide a comprehensive platform for researchers to present their cutting-edge research, reviews, and perspectives on various aspects related to HIV prevention, evaluation methodologies, and control measures.

We are excited to receive your contributions to this timely and pertinent Special Issue. Together, we will strive to pave the way for a future where HIV/AIDS is effectively managed and, ultimately, eliminated.

Dr. Οlga Tsachouridou
Guest Editor

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Keywords

  • HIV/AIDS
  • HIV testing
  • immune activation
  • HIV pathogenesis
  • inflammation
  • HIV transmission and prevention
  • antiretroviral therapy

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Published Papers (1 paper)

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Review

33 pages, 974 KiB  
Review
Role of Artificial Intelligence and Personalized Medicine in Enhancing HIV Management and Treatment Outcomes
by Ashok Kumar Sah, Rabab H. Elshaikh, Manar G. Shalabi, Anass M. Abbas, Pranav Kumar Prabhakar, Asaad M. A. Babker, Ranjay Kumar Choudhary, Vikash Gaur, Ajab Singh Choudhary and Shagun Agarwal
Life 2025, 15(5), 745; https://doi.org/10.3390/life15050745 - 6 May 2025
Abstract
The integration of artificial intelligence and personalized medicine is transforming HIV management by enhancing diagnostics, treatment optimization, and disease monitoring. Advances in machine learning, deep neural networks, and multi-omics data analysis enable precise prognostication, tailored antiretroviral therapy, and early detection of drug resistance. [...] Read more.
The integration of artificial intelligence and personalized medicine is transforming HIV management by enhancing diagnostics, treatment optimization, and disease monitoring. Advances in machine learning, deep neural networks, and multi-omics data analysis enable precise prognostication, tailored antiretroviral therapy, and early detection of drug resistance. AI-driven models analyze vast genomic, proteomic, and clinical datasets to refine treatment strategies, predict disease progression, and pre-empt therapy failures. Additionally, AI-powered diagnostic tools, including deep learning imaging and natural language processing, improve screening accuracy, particularly in resource-limited settings. Despite these innovations, challenges such as data privacy, algorithmic bias, and the need for clinical validation remain. Successful integration of AI into HIV care requires robust regulatory frameworks, interdisciplinary collaboration, and equitable technology access. This review explores both the potential and limitations of AI in HIV management, emphasizing the need for ethical implementation and expanded research to maximize its impact. AI-driven approaches hold great promise for a more personalized, efficient, and effective future in HIV treatment and care. Full article
(This article belongs to the Special Issue Prevention, Evaluation, and Control of HIV Infection)
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