AIM-AHEAD & NCATS Training Program

The AIM-AHEAD Consortium and the National Center for Advancing Translational Sciences (NCATS) have partnered to develop a traineeship in AI/ML using NCATS Data, the N3C Data Enclave, and AIM-AHEAD’s Data Science Training Core.

This training opportunity was designed to reduce barriers for AIM-AHEAD researchers to access and analyze real-world clinical data, enabling them to conduct novel research at the intersection of AI/ML and healthcare with data collected from a broad cross-section of American communities.

AIM-AHEAD & NCATS Trainees at the AIM-AHEAD Annual Meeting
AIM-AHEAD & NCATS Trainees at the AIM-AHEAD Annual Meeting

Program Goals

Train with National Clinical Data Resources

Build AI/ML skills using data and tools from the AIM-AHEAD Consortium and National Center for Advancing Translational Sciences

Analyze Real-World Clinical Data

Conduct research using secure datasets and infrastructure, including the N3C Data Enclave

Advance AI/ML Research in Healthcare

Apply data science training to explore new AI/ML approaches that address real healthcare challenges

AIM-AHEAD & NCATS Training Program

Program Trainees

The AIM-AHEAD Consortium and the National Center for Advancing Translational Sciences (NCATS) have partnered to offer this unique training opportunity designed to reduce barriers for researchers to access and analyze real-world clinical data. This program enables participants to conduct novel research at the intersection of AI/ML and healthcare, using data collected from a broad spectrum of American communities.

Trainees complete online courses, participate in live classes, and learn hands-on skills using the NCATS National Clinical Cohort Collaboration (N3C) Data Enclave, a secure, harmonized health data resource that has data from over 22.9 million individuals.The N3C is designed to facilitate rapid insights into diseases and supports innovative research into treatments, health care practices, and addressing gaps in healthcare.

Through this program, participants learn to ethically and effectively apply AI/ML methods to this robust data, unlocking insights that can improve health outcomes for all American communities.

Cohort 1

Distribution of Cohort 1 Trainees by Hub
Distribution of Cohort 1 Trainees by Hub

Cohort 2

Distribution of Cohort 2 Trainees by Hub
Distribution of Cohort 2 Trainees by Hub

Geographical Distribution of Trainees by Institution

AIM-AHEAD & NCATS Training Program

Program Impact

The AIM-AHEAD Consortium partnered with the National Center for Advancing Translational Sciences (NCATS) at the National Institutes of Health (NIH) to develop a traineeship in advanced data analysis. This traineeship is designed to equip trainees across America with the knowledge and skills to effectively use the strengths of artificial intelligence and  machine learning with large real-world health databases to improve health and health care for all communities.

Trainees complete online courses, participate in live classes, and learn hands-on skills conducting a project using the N3C Synthetic Real-World Data (SynRWD) Training Dataset, which contains over 446,000 records mimicking the complexity and richness of real health data from a variety of hospitals, clinics, and agencies. Through this program, participants will learn to effectively and ethically apply AI/ML methods to this robust data, unlocking insights that can improve health outcomes for all Americans.

Cohort 1 Outcomes

The following infographic highlights key metrics from the AIM-AHEAD & NCATS Training Program for Cohort 1, which comprised of 55 trainees. It highlights participation, feedback, task completion, and overall progress within both the Clinical Science and Data Science tracks. (Some metrics may vary based on trainee evaluation response totals; variations have been indicated in the metrics data). 

 

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Program Directors Toufeeq Syed, PhD; Robert Mallet, PhD; Aubri Hoffman, PhD, MS; Mike Kurilla, MD, PhD
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