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Join us for the 2025 AIM-AHEAD

Annual Meeting!
  • Annual Meeting will be held in Dallas, Texas
  • Pre-conference activities begin on July 7, 2025
  • Conference dates: July 8 - July 9, 2025
Conference Website
aim-ahead annual conference

More Details

Abstract Submission Guidelines

Abstracts should be at least 250 words, but no more than 500 words. Presenters will submit their abstracts, along with author information and affiliation(s), through the CVENT event platform.

Each abstract should include the following subheadings: Objective/Purpose, Methodology, Results, Conclusions, and Implications of your research.

Poster Presentation Requirement* – All current AIM-AHEAD awardees and trainees are required to present a poster at the AIM-AHEAD Annual Meeting as part of their program participation.

Read the Call for Abstracts here

Download the Poster Template here (Revised on 5/29/2025)

The deadline to submit FINAL poster abstracts has changed from June 23 to June 25, 2025. All updated timelines are listed below

  • June 13: Draft Abstract due in CVENT
  • June 13-17: Abstract Review Period
  • June 25: Final Abstract due in CVENT
  • June 27: Final Poster Upload in CVENT


View the Conference Website & Agenda

Main Conference Website

Detailed Agenda

Please be sure to incorporate all feedback regarding language compliance with the Executive Order into your revised abstract and your poster in CVENT. Final abstracts or posters that do not address the reviewers’ language feedback will not be included in the Annual Meeting program book and will not be presented at the AIM-AHEAD Annual Meeting.

 For those traveling to the conference, please ensure your identification is compliant with the "REAL ID" requirements from the Department of Homeland Security (DHS) or that you have a valid passport. REAL ID credentials will be required for all domestic air travel starting May 7, 2025. Please refer to the official DHS website for more information about this policy and make all necessary arrangements prior to your travel dates.

Please submit all questions and conference requests to the AIM-AHEAD Annual Meeting Support Team via email at: 2025AIM-AHEAD@unthsc.edu.

We look forward to seeing you there!

aim-ahead program spotlight

PAIR Cohort 1 Phase 1

Through the implementation of a two-phase funding model, PAIR has connected awardee institutions from across the United States with AIM-AHEAD resources, AI/ML and health experts, and grant-writing coaches to help establish AI/ML Health Research Labs which host cross-disciplinary teams for research projects and grant writing.

Program Page Link
hallmarks of success

AIM-AHEAD North Stars

“Hallmarks of Success” are goals for the AIM-AHEAD Consortium to strive towards. These hallmarks have been aligned to AIM-AHEAD’s four North Stars, and is included in the AIM-AHEAD Coordinating Center (A-CC) evaluation plan. Cores, hubs, and consortium partners will report on how their activities contribute to which hallmark(s) to track progress.

North Star I Develop an AI/ML Workforce
North Star II Increase knowledge, awareness, and national-scale community engagement/empowerment in AI/ML
North Star III Use AI/ML to address behavioral health, cardiometabolic health, and cancer
North Star IV Build community capacity and infrastructure in AI/ML to address community-centric health issues
AIM-AHEAD Connect

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AIM-AHEAD Connect is developed and supported by the Communications Hub team.

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AIM-AHEAD Connect Course Spotlight
Learn More & Enroll
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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