Project

AIM-AHEAD: https://www.aim-ahead.net/

Project description

This project aims to improve outcomes in heart transplantation by examining donor-recipient blood type composition mismatch, with particular attention to the availability of blood type B donors. Leveraging advanced artificial intelligence (AI) and machine learning (ML) methodologies, we aim to quantify the potential benefits of increasing the supply of blood type B donors and to provide data-driven insights that can inform public education, community engagement, and healthcare planning.

Our aims are:

1. Develop artificial intelligence (AI) and machine learning (ML) algorithms to quantify the benefits of increasing donor supply.
2. Integrate demographic characteristics and Social Determinants of Health (SDOH) into modeling frameworks.
3. Collaborate with healthcare providers and community partners to translate analytical insights into actionable practice.

By focusing on donor-recipient blood type composition mismatch and employing AI/ML models, this project aims to improve fairness in heart transplant procedures and overall cardiometabolic health for populations. The project's success will provide insights into the role of donor-recipient blood type composition mismatch in heart transplantation disparities and inform the development of targeted interventions and policies.