AI and ML: Accelerate Health Innovation

Thursday, April 20 at 1:00 PM - 2:00 PM CT
South Building, Level 4 | S403
Real-world Artificial Intelligence (AI) and applied Machine Learning (ML) leverage the data-verse to advance data science and analytical tools directly supporting patient care. During this panel discussion, hear the highlights of the innovations being applied to support providers, patients, and health leaders in decision making and improved mission performance for federal health missions. We will explore the future of health through advanced technologies that continue to propel health care forward, drive critical health agency missions and underpin life-saving programs.

Learning Objectives

  • Identify Transfer Learning, a powerful form of AI/ML that speeds the development of mission-specific solutions
  • Explain how to perform AI/ML on Cancer Omics and imaging data. Identify approaches to create the Cancer Research Data Commons for the National Cancer Institute
  • Identify AI/ML methods being used to combat Fraud, Waste and Abuse. Identify methods to provide visualization as a means to explain the inferences of our ML models and also how to prioritize risk to target actionable leads
Chief Digital Officer/Chief Digital Health Officer, CIO/CTO/CTIO/Senior IT, Data Scientist


Dave Vennergrund
Vice President, AI & Data Insights
David Pot Ph.D.
Director, Bioinformatics
Karen Painter
Program Director, CMS Program Integrity Modeling and Analysis
Tiruppur "Jay" Jayaseelan
Senior Director, Federal Health Analytics