AIM-AHEAD Connect Course Spotlight
VADSTI Data Science Training Program
- Course Directors:
- Toufeeq Syed, PhD
- John Kwagyan, PhD
- Level: No prerequisites for research knowledge topics. A basic undergraduate knowledge of algebra and probability is recommended for content knowledge topics.
- Format: Modular, asynchronous,
self-paced - Total Modules: 9
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.
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Feb 3, 2026
2025-2026 AIM-AHEAD FHIR Program Call For Coaches
AIM-AHEAD is recruiting coaches for the 2025-2026 AIM-AHEAD FHIR (Fast Healthcare Interoperability Resources) Collaborative Training Program.. Continue reading
Jan 29, 2026
AIM-AHEAD Welcomes 130 New Trainees and Launches 2025-2026 Collaborative Training Program Cohorts
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
Jan 16, 2026
AIM-AHEAD Announces Year 4 Program Awardees and Fellows
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
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What isAIM-AHEAD?
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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