Young Scholar Travel Award for NIDDK AI Workshop  

Calling all early-stage scholars interested in AI-based approaches to study diabetes and other chronic conditions

The National Institute of Diabetes, Digestive and Kidney Diseases (NIDDK) is conducting a workshop titled “AI in precision medicine for diabetes and other chronic diseases: challenges and opportunities in developing predictive models and biomarkers for disease initiation, progression, prevention, and subtypes”, to be held on Oct 30-31, 2024, at the Neuroscience Center Building, 6001 Executive Blvd., Bethesda, MD.

This workshop aims to bring together biomedical researchers and AI/ML experts, to discuss the critical challenges, crosscutting gaps, and opportunities and actionable items in leveraging AI/ML and other recent data science advances in precision medicine, with a focus on diabetes and other chronic disease areas relevant to the NIDDK mission. More information can be found at the workshop website.

We are currently accepting applications for travel awards from trainees (e.g., from senior undergraduate students to 1st/2nd year faculty) who are interested in this topic. You will be asked to fill out some basic information, provide your abstract title, a short description of your qualifications/interest in the workshop, and upload a CV. The applicants must work in a lab at a United States Institution. Trainees will also be asked to identify their mentor(s). If your primary mentor’s research focus is not in diabetes and other chronic disease areas relevant to the NIDDK mission, we strongly encourage identifying a co-mentor from these areas.

Applications are due by Aug 30, 2024 and we will select trainees to participate by Sept 16, 2024. If invited as a trainee, travel, lodging, meals, and incidental expenses can be reimbursed up to $500 by the NIDDK.

We are very excited about supporting and inspiring the next generation of NIDDK researchers. Please don’t hesitate to reach out to the workshop contact Nie Jia, PhD (jia.nie2@nih.gov), Xujing Wang, PhD, NIDDK (xujing.wang@nih.gov), or the co-chairs if you have any question.

Note: Form submission will require a Google account to allow document (e.g., CV) uploads.