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Save the Date! The 2025 AIM-AHEAD Annual Meeting will be held July 8-9, 2025 in Dallas, TX.

Event details and registration information to be announced. 

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New Jobs & Funding Opportunities Posted!

Read more about these exciting opportunities open to the AIM-AHEAD community and apply today.

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New Online Course Available! Launching AI and Health Disparities Research

The new course from AIM-AHEAD's Program for AI Readiness (PAIR) explores how AI is revolutionizing patient care, diagnosis, and treatment. Discover new ways to analyze AI impact, to address data disparities, and to submit grant applications.

Featured Opportunities

Call for Experts and Coaches

Deadline Extended!

The AIM-AHEAD Program for Artificial Intelligence Readiness (PAIR) is recruiting Experts and Grant Writing Coaches for the second cohort of the AIM-AHEAD PAIR Program.

Apply by: March 14, 2025

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AIM-AHEAD News

Jan 29, 2025

AIM-AHEAD’s Northeast Hub Hosts Writing Retreat

AIM-AHEAD’s Northeast Hub hosted a writing retreat and guest panel to build capacity to produce AIM-AHEAD research products...  Continue reading

Dec 18, 2024

AIM-AHEAD Program for Artificial Intelligence Readiness (PAIR) Cohort 2 Experts & Coaches CFA

AIM-AHEAD PAIR seeks applications for Cohort 2 Experts & Grant Writing Coaches. Application deadline - February, 2025...  Continue reading

Dec 18, 2024

AIM-AHEAD & NCATS Health Data Science Training Program - Call for Clinical Advisors

AIM-AHEAD & NCATS Health Data Science Training Program (HDSTP) now accepting applications for Clinical Advisors. Deadline to apply - January..  Continue reading

AIM-AHEAD Events

Webinar Feb 24, 2025

Georgetown University’s February Python for AI Health Care Applications Workshop

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Webinar Feb 20, 2025

Georgetown University’s February SDOH Data Analytics Workshop Series

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Webinar Feb 19, 2025

Federated Learning in Healthcare Webinar: A Brief Review of Foundations, Applications, Challenges, and Opportunities

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What isAIM-AHEAD?

AIM-AHEAD is a program funded by the National Institutes of Health that aims to enhance the participation and representation of researchers and communities currently under-resourced in the development of AI/ML models and to improve the capabilities of this emerging technology. 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 NIH in the application review process or when making funding decisions.**

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