News

ELHS Institute Contributes to the NIH AIM-AHEAD Bridge2AI AI-READI Training Program

 

📅 February 1, 2025

 

We are thrilled to announce that ELHS Institute is contributing to the NIH AIM-AHEAD Bridge2AI AI-READI Training Program, a prestigious initiative aimed at advancing health equity and AI/ML research. This year, the NIH AI consortium has selected 25 young professionals nationwide to participate in this intensive training program, which began in January.

 

Among the selected trainees, two distinguished participants—a university faculty member in computer science and a physician from Harvard Medical School—have chosen Dr. AJ Chen, Founder and Principal Investigator of ELHS Institute, as their mentor. We are honored to support this important NIH initiative with our expertise in fine-tuning open-source LLMs for clinical studies and applications.

 

About the AIM-AHEAD Bridge2AI AI-READI Program

 

 

The AIM-AHEAD (Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity) program was established to increase participation from underrepresented researchers and communities, particularly from underserved and rural areas, in AI/ML model development. The initiative focuses on enhancing AI/ML capabilities, particularly in the analysis of electronic health record (EHR) data.

 

Trainees in the AI-READI Training Program are committed to leveraging AI/ML to address health disparities. Over the next eight months, they will undergo advanced training in data science, AI-driven biomedical research, and socioeconomic analysis through resources provided by the NIH Bridge2AI project and AIM-AHEAD’s Data Science Training Core. By the end of the program, these professionals will be equipped to conduct in-depth analyses of large datasets, essential for cutting-edge medical and social research.

 

At ELHS Institute, we are proud to contribute to this transformative effort, ensuring AI-driven healthcare solutions are both inclusive and impactful. We look forward to supporting the next generation of AI leaders in their journey toward equitable and data-driven healthcare innovation.