Overview: This training series introduces foundational data science concepts, Python programming, and core analytic methods used in clinical, biomedical, and genomic research. Participants gain hands-on experience with statistics, data exploration, visualization, and predictive analytics through recorded lectures and assignments from Howard University’s Virtual Applied Data Science Training Institute.
Applications are open for the Building Partnerships and Broadening Perspectives to Advance Ethical, Legal, and Social Implications (ELSI) Research (BBAER).. Continue reading
AIM-AHEAD is recruiting coaches for the 2025-2026 AIM-AHEAD FHIR (Fast Healthcare Interoperability Resources) Collaborative Training Program.. Continue reading
Find out more about AIM-AHEAD Year 4 Programs and their Awardees and Fellows, along with each individual’s institutional and AIM-AHEAD.. Continue reading
Stay up to date with our initiatives and funding opportunities.
The National Institutes of Health’s AIM-AHEAD program was established to create mutually beneficial and coordinated partnerships to empower researchers and communities across the United States in the development of AI/ML models and enhance the capabilities of this emerging technology, beginning with electronic health record (EHR) data. Read More
**Please note that, consistent with NIH practice and applicable law, funded programs may not use the race, ethnicity, or sex of prospective program participants or faculty as an eligibility or selection criteria. The race, ethnicity, or sex of candidates will not be considered by AIM-AHEAD in the application review process or when making funding decisions.**
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