Don’t let AI pass you by…knowing how to harness AI and data science is critical for driving impactful research.

This 4-part workshop series is designed to help researchers transform their approach to translation diabetes research through data science and AI.

Through the live sessions with real-world scenarios and tools, participants will master AI literacy and practical skills to design and apply AI technology to their diabetes translational research.

Registration

Registration is required and closes January 24, 2025

About the 4-part Series

The 4-part series is designed with content building upon each workshop. It will teach you how to:

• Integrate advanced AI models into the data science lifecycle and use data science tools effectively.
• Identify and understand the best data sources for various AI applications.
• Select and apply the most effective strategies for implementing LLM models in diabetes translation research practices. 
• Understand how AI can be incorporated into research funding proposals.

Each workshop will be 1.5 hours in duration with a combination of content delivery, activities, and discussion:

• Wed., Jan. 29, 12:30 – 2:00 p.m. CST: Workshop 1—Foundations of AI in Health Research
• Wed., Feb. 5, 12:30 – 2:00 p.m. CST: Workshop 2—Data Use and Engineering
• Wed., Feb. 12, 12:30 – 2:00 p.m. CST: Workshop 3—Best Practices in AI Implementation
• Wed., Feb. 19, 12:30 – 2:00 p.m. CST: Workshop 4—AI Funding Mechanisms

Series Lead Faculty Bio

Dr. Adam Wilcox is the WU-CDTR AI and Data Science Core Director, and a Professor of Medicine and the Director of the Center for Applied Clinical Informatics, Institute for Informatics, Washington University in St. Louis School of Medicine. He has broad experience in both applied and research informatics, both in academia and healthcare delivery organizations. He leads strategy and activities related to application of informatics tools and methods to improve clinical care and research. Nationally, he is noted for his work with designing, developing and sustaining data systems for populations with research and electronic health record data; for design and implementation of health information systems; and for advancing methods in sustainability of data systems.

Contact

For questions and technical support, please contact AI Core Manager, Renee Parks at renee.parks@wustl.edu.

Interested in receiving an individual consultation? Complete the Request Core Services form.