Engaging a diverse group of participants from underrepresented populations to actively participate in mentored didactic and experiential educational activities to acquire the leadership competencies necessary to promote and achieve the strategic imperatives of AIM-AHEAD.
Enable early-career researchers to actively participate in biomedical research that involves the use of AI/ML methodologies on biomedical research data, clinical, and genomic cohorts to address health disparities and inequities, including bias in AI/ML algorithms or data.
PAIR aims to leverage AIM-AHEAD resources to jump start AI research for health equity in minority serving institutions (MSI) with inadequate resources.
An NIH-funded training program that focuses on developing skills in artificial intelligence and machine learning (AI/ML) applications on health disparities.
Traineeship in advanced data analysis using the All of Us Clinical Database and AIM-AHEAD’s Data Science Training Core.
Traineeship in advanced data analysis using NCATS Data, the N3C Data Enclave, and AIM-AHEAD’s Data Science Training Core.
Provides training opportunities to current and future healthcare professionals, especially underrepresented minorities from their respective institutions, for a structured professional development program in AI/ML and health equity.
Program allowing patient level-data to stay at the local site and the ability for sites to opt-in to participate; allowing for more diverse data and research while promoting data privacy and safety.
Designed to develop workforce capacity and increase opportunities for underrepresented institutions to participate in the development and operations of AI and data infrastructure.