AIM-AHEAD News

May 1, 2023

AIM-AHEAD's Health Equity Data Challenge

High Risk Breast Cancer Prediction and Health Equity Data Challenge

DSTC and Nightingale Open Science developed this challenge as a training and outreach opportunity for underrepresented students in AI/ML.

The goal of this challenge is to improve the prediction of the cancer stage in minority patient’s cancers above a baseline score derived from all patients, using only the whole slide images generated by a breast biopsy.

Triple negative breast cancers constitute 15% to 20% of breast cancers and have higher incidence in African American and Hispanic women, with African Americans facing worse outcomes than other race and ethnic groups. [2] Determining the stage helps doctors determine how to move forward with treatment.

Overall Budget	$60,000
Completion Date	August 2023 at Annual AIM-AHEAD meeting
Prizes	Prizes for winning teams: *Cash* (donated), free compute credits, possible publication. *Travel Grants* awarded to top scoring teams to present solution at AIM-AHEAD Annual meeting
Teams	We hope to recruit 10-20 teams of up to 5 persons. Underrepresented populations in the U.S. biomedical, clinical, behavioral and social sciences research enterprise are strongly encouraged to participate. (LINK) We need assistance from AIM-AHEAD HUBs and CORES for recruitment and marketing
Timeline	The Data Challenge - May 1 - June 23. Challengers have 2 months to improve their models. All teams will be scored and placed on a Leaderboard. Finalists will be identified based on Leaderboard. All Challengers must make solutions public on Github.

April 19, 2023, 4-5 pm CT

Register for the AIM-AHEAD Year 2 Call for Proposals Webinars

AIM-AHEAD anticipates releasing a new call for proposals opportunities in April 2023. Please see Notice of Intent to Publish Solicitations (Year 2) https://www.aim-ahead.net/call-for-proposals-year-2/

About AIM-AHEAD: The National Institutes of Health’s Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD) program has established mutually beneficial, coordinated, and trusted partnerships 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, beginning with electronic health records (EHR) and extending to other diverse data to address health disparities and inequities.

April 12, 2023, 4-5 pm CT

Register for the AIM-AHEAD Year 2 Call for Proposals Webinars

April 6, 2023, 3–4 pm CT

Ethics Discussion Forum: The AIM-AHEAD Ethics and Equity Principles

The potential for artificial intelligence and machine learning (AI/ML) to address health equity in an ethical manner is an ongoing discussion, with both debate and uses cases across a growing range of health-related scenarios. Centered within this debate are broad considerations for convened institutions and individual stakeholders who are seeking to fulfill this potential collaboratively, meaningfully, and effectively, such as AIM-AHEAD. Members of the AIM-AHEAD Ethics SubCore will present, on behalf of the AIM-AHEAD Ethics and Equity Workgroup, the AIM-AHEAD Ethics and Equity Principles and Glossary to drive a moderated discussion around challenges and opportunities to implementing the principles and glossary among diverse institutions and collaborators within the Consortium. Individuals who attend will also have the opportunity to sign up to participate in a 1:1 interview with members of the AIM-AHEAD Ethics and Equity Workgroup to discuss their personal views and perspectives about the Principles and Glossary and provide feedback on opportunities to strengthen the Principles and Glossary.

Discussion Hosts:

Rachele Hendricks-Sturrup, DHSc, MSc, MA
National Alliance Against Disparities in Patient Health (NADPH)
AIM-AHEAD Ethics and Equity Workgroup Co-Chair

Ellen Wright Clayton, MD, JD
Craig-Weaver Professor of Pediatrics, Professor of Law
Center for Biomedical Ethics and Society
Vanderbilt University Medical Center
AIM-AHEAD Ethics and Equity Workgroup Member

Malaika Simmons, MSHE
National Alliance Against Disparities in Patient Health (NADPH)
AIM-AHEAD Ethics and Equity Workgroup Member

Join More Info

Deadline: Friday, April 14, 2023.

CHITA 2023 Travel & Participation Grants

We are pleased to announce grant opportunities for participation in CHITA (Conference on Health IT and Analytics). With the generous support of the AIM-AHEAD consortium, CHITA will provide a limited number of grants for participants with diverse backgrounds. We especially encourage underrepresented minorities to join CHITA. Recipients will be reimbursed for travel and hotel expenses and will receive an additional $500 stipend. A certificate of participation will be provided.

To apply, please send an email to cdhai@jhu.edu with the following information:

Your resume, and LinkedIn page if available.
One brief paragraph describing your interest in applying AI in healthcare to enhance equity and diversity.

Apply More Info

Submission Deadline: Sunday, April 30, 2023, at 5:00 p.m. ET

Submissions Are Now Open for the 2023 Health Equity DataJam!

For a second year, AcademyHealth is hosting the Health Equity DataJam to harness the power of data and the creativity of the public to answer pressing questions related to health and health care disparities. Participants will transform raw data into actionable insights and digital tools to bridge disparities of health, including those exacerbated by barriers to care, Long COVID, cancer, infection-associated chronic illnesses and kidney and Lyme diseases, to ensure equitable access and wellness for all.

Submit

New Course Available!

All of Us Researcher Workbench On-Demand Training

Enroll today in this free, self-directed course that provides an overview of the Researcher Workbench and how it can be used to address health disparities with Artificial Intelligence and Machine Learning.

Enroll Now