Advance Trustworthy AI/ML Research
Develop novel algorithms and approaches grounded in responsible and reliable AI
The primary objective of the FAIR-MED Year 4 CDP program is to support the development of multidisciplinary research projects involving partnerships with relevant collaborators (e.g., health care professionals or patient representatives) that leverage AI/ML to promote health for all Americans by utilizing novel algorithms or approaches grounded in trustworthy AI.
FAIR-MED projects are expected to significantly impact healthcare access and utilization, healthcare quality and value, and health outcomes for populations that are disproportionately impacted by cancer, cardiometabolic disease and behavioral/mental health disorders.
Develop novel algorithms and approaches grounded in responsible and reliable AI
Support research teams partnering with healthcare professionals and community stakeholders
Apply AI/ML to address cancer, cardiometabolic, and behavioral/mental health challenges
The 2025-2026 application cycle drew proposals from private and public institutes of higher education, non-profits, small businesses, and for-profit organizations.
Six teams have each been awarded up to $400,000 per year over a two-year period to integrate trustworthy AI throughout design, development, and implementation towards impacting healthcare access and utilization, healthcare quality and value, and health outcomes for populations that are disproportionately impacted by cancer, cardiometabolic disease and behavioral/mental health disorders.
All projects are jointly led by learning health systems and academia, demonstrating potential for knowledge transfer among institutions.
The program seeks applications that catalyze collaborative partnerships to assess and/or evaluate the integration of AI in a trustworthy manner that adheres to the principles of co-design.
Funded projects will demonstrate potential to improve behavioral health, cardiometabolic health and cancer outcomes for all.