AI in HIV Research (AIHR)
Purpose
The HIV and Artificial Intelligence (AI) Research Interest Group unites investigators across diverse AI disciplines to share cutting-edge innovations, drive transformative scientific breakthroughs, and accelerate interdisciplinary scientific discoveries. The group will bridge the gap between technical innovation and clinical/research application: ensuring that AI tools are used thoughtfully, equitably, and effectively to improve health outcomes and advance scientific discovery; fostering responsible, impactful, and collaborative development and application of AI technologies to advance HIV research; and enhance clinical care and improve health outcomes for people with HIV. To contact the AIHR to become a member or request a consultation please email us at CFARClinicalCore@med.unc.edu.
Rationale
Artificial intelligence (AI) has the potential to revolutionize HIV science and clinical care. AI applications in HIV research range from genetic data analysis identifying drug resistance mutations, multi-omics integration providing insights into disease progression, to predictive modeling of outcomes allowing healthcare providers to tailor interventions for individual patients. These advances promise to improve the accuracy of diagnostics, enhance treatment regimens, and bolster patient engagement, ultimately leading to better health outcomes. Despite these promising applications, the use of AI is not without challenges, including transparency, data privacy and security which need to be addressed. As the capabilities of AI continue to increase, its role in shaping the future of HIV care and research is poised to expand. The AI scientific working group is fostering collaborations across disciplines accelerating interdisciplinary scientific discoveries.
Main Objectives
- Seminar series: We host a seminar series on HIV and AI.
- Training: We are developing workshops to train the new generation of HIV scientists working with AI.
- Building capacity: We are supporting AI capacity by identifying and building secure IT infrastructure for AI deployment.
- Identifying priority areas: We are working with clinicians, researchers, and patients to define high-impact areas where AI applications can have a substantial impact.
- Enabling collaboration: We are serving as a hub connecting data scientists, data analysts, researchers, clinicians, patients and community stakeholders.
- Providing expertise: We provide expertise across AI fields including precision analytics, natural language processing, and image and video processing.
- Establishing resources: We are identifying and creating resources to support HIV investigators interested in using AI, including available data and specimens, and computational and analytic techniques and solution.
People