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AIM-AHEAD & NCATS Training Program Information Webinar Today!

Learn more about this exciting funding opportunity today (Nov. 6) from 2-3 p.m. CT / 4-5 p.m. ET.

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AIM-AHEAD Bridge2AI for Clinical Care Training Program Informational Webinar Today!

Hear more about this exciting opportunity today (Nov. 6) from 3-4  p.m. CT / 4-5 p.m. ET.

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New Online Course Available! Launching AI and Health Equity 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.

AIM-AHEAD CLINAQ Fellowship Call For Mentors

Clinicians Leading Ingenuity IN AI Quality (CLINAQ) is recruiting mentors to help equip and empower a diverse cohort of clinicians with AI/ML skills and knowledge. The deadline to apply is November 8, 2024.

Find Out More!

New Call For Proposals Released!

AIM-AHEAD’s Program for Artificial Intelligence Readiness (PAIR) is now accepting research proposals for Cohort 2

View Full Details!

Social Determinants of Health (SDOH) Data Analytics Workshops — Fall Orientation

Presented by AIM-AHEAD and Georgetown University, November 7, 2024

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AIM-AHEAD Training Programs - Call for Applications 

AIM-AHEAD is excited to launch several new training programs, each designed to further develop a diverse workforce of researchers who are proficient in AI/ML and eager to address unmet needs in underrepresented communities. Postgraduates, graduate students, postdocs, healthcare workers, and all early-career researchers are encouraged to apply! You may apply to multiple training programs, but if accepted into more than one, you can only participate in one.

Select from the program title links below to read the Call for Applications and to apply now!

AIM-AHEAD All of Us Training Program

This program seeks to promote researcher diversity in AI/ML by training individuals from diverse backgrounds in AI/ML data analysis, and applying their expertise to benefit underrepresented communities.

Application Deadline: November 18, 2024, 11:59 p.m. Eastern Time

AIM-AHEAD Bridge2AI AI-READI Training Program

An 8-month program for postgrads, postdocs, early-career faculty, and professionals. Trainees will utilize AI-READI data, AIM-AHEAD’s Data Science Training Core, and the AIM-AHEAD Connect Platform.

Application Deadline: November 18, 2024, 11:59 p.m. Eastern Time

Training Program Questions?

If you still have questions after reading through the Call for Applications, please reach out to the AIM-AHEAD Training Programs HelpDesk for more assistance.

Submit a HelpDesk Ticket

AIM-AHEAD Bridge2AI for Clinical Care Training Program

An intensive 8-month training program in advanced data analysis developed by Bridge2AI to equip trainees to conduct in-depth analysis of large datasets essential for cutting-edge biomedical and socioeconomic research.  

Application Deadline: November 18, 2024, 11:59 p.m. Eastern Time

AIM-AHEAD & NCATS Training Program

Traineeship in advanced data analysis using NCATS data, the N3C Data Enclave, and AIM-AHEAD’s Data Science Training Core to conduct data analysis for cutting-edge biomedical and socioeconomic research.

Application Deadline: November 18, 2024, 11:59 p.m. Eastern Time

AIM-AHEAD ScHARe Equity in Population Health AI: Beyond EHR Training Program

The AIM-AHEAD ScHARe Training Program is designed to increase the diversity of researchers skilled in AI/ML by providing training on the utilization of AI for population health research, leveraging the ScHARe Terra workspaces.

Application Deadline: November 18, 2024, 11:59 p.m. Eastern Time

AIM-AHEAD News

AIM-AHEAD Year 3 Programs Launched!

AIM-AHEAD is proud to announce the awardees for our Year 3 programs for the 2024-25 funding cycle. View the preliminary list of AIM-AHEAD Year 3 programs and award recipients.

AIM-AHEAD Events

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What isAIM-AHEAD?

Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (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 underrepresented in the development of AI/ML models and to improve the capabilities of this emerging technology. Read More

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