Understanding health disparities and predicting risks for HIV-related infections

Localizing Health Disparities and Predicting Morbidity and Mortality for HIV-Related Opportunistic Infections

NIH-funded research Beth Israel Deaconess Medical Center · NIH-11009209

This study is looking at how differences in healthcare access can affect the risk of serious infections and death for people with HIV/AIDS, and it uses advanced technology to see how expanding Medicaid in the Southern U.S. could help improve hospital stays and survival rates for these individuals.

Quick facts

Grant typeCareer grant
Study typeNIH-funded research
Funding institutionBeth Israel Deaconess Medical Center NIH-funded
Lab location1 site (Boston, United States)
Project IDNIH-11009209 on NIH RePORTER

What this research studies

This research investigates how health disparities affect the risk of opportunistic infections and mortality in individuals with HIV/AIDS. By utilizing artificial intelligence, the study aims to simulate the impact of Medicaid expansion in the Southern United States on hospitalization and mortality rates related to these infections. The research will analyze extensive hospitalization data to identify inequities and develop predictive models for individual patient outcomes. This approach seeks to enhance understanding of the factors contributing to health disparities and improve care for those affected by HIV.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals living with HIV/AIDS, particularly those in the Southern United States who may be affected by health disparities.

Not a fit: Patients who are not living with HIV/AIDS or those outside the Southern United States may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to improved healthcare strategies that reduce the risk of opportunistic infections and mortality among individuals with HIV.

How similar studies have performed: Other research has shown success in using data science and AI to address health disparities, indicating that this approach has potential for meaningful impact.

Where this research is happening

Boston, United States

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions AIDS Associated Opportunistic InfectionAIDS opportunistic infectionsAIDS-Related Opportunistic InfectionsAcquired Immune Deficiency SyndromeAcquired Immune Deficiency Syndrome Virus
Last reviewed 2026-06-10 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.