May 18, 2022

8:30 -10:15 Session: AI in Healthcare: Research Highlights

Convener: Ioannis A. Kakadiaris, University of Houston
Georgiy Golovko, UT Medical Branch Galveston

8:30-8:45 Natural Language Processing in Healthcare: Methods and Applications
Hua Xu, UTHealth

8:45-9:00 Models & Challenges and in Protecting Biomedical Data Sharing and Analysis
Xiaoqian Jiang, UTHealth

9:00-9:15 Concept Embeddings for Stroke Subtype Discovery
Andrew Zimolzak, BCM

9:15-9:30  Optimal Transport for Federated Biomedical Signal Processing
Caesar Uribe, Rice Univ.

9:30-9:45 Diabetes Management in Underserved Communities: Data-driven Insights from Continuous Glucose Monitoring
Souptik Barua, Rice University

9:45-10:15 Panel Discussion

10:15-10:30    Break

10:30-12:15 Session:  AI in Healthcare: Opportunities for Clinical Deployment

Conveners: GQ Zhang, UT Health and Nancy Gordon, MD Anderson Cancer Center

10:30-10:45 AICORE-kids: AI Enhanced COVID-19 Risk Assessment for Kids
Ananth Annapragada, Baylor College of Medicine/Texas Children’s Hospital

10:45-11:00 TBA
Han Liang, UT MD Anderson

11:00-11:15 Radiology Oncology and Modeling
Caroline Chung, UT MD Anderson

11:15-11:30 Advancing Personalized Cancer Immunotherapy Through AI-guided Structural Bioinformatics
Dinler Antunes, UH

11:30-11:45 Leveraging Mobile Sensor Data for Neurological Disease Management
Samden Lhatoo, UTH

11:45-12:00 Environments for Deployments of AI in Patient Care
Craig Rusin, BCM

12:00-12:30 Panel: AI in Healthcare: Opportunities for Clinical Deployment

Panel Moderator: GQ Zhang and Nancy Gordon

12:30-1:00 Lunch break

1:00-2:45 Session: AI in Healthcare: Challenges in Health Equity and AI/ML             
Convenor: Winston Liaw, UH and Hongbin Wang, TAMU

1:00-1:15 Challenges in Health Equity
Ezemenari Obasi, UH

1:15-1:30 Leveraging AI to Improve Health Equity
LeChauncy Woodard, UH

1:30-1:45 Biomedical Ethics of AI in Practice
Jack Smith, Texas A&M Health

1:45-2:00 How Actionable Are Social Risk Factors Obtained from Credit Data Versus Utilization Data and for Whom Are They Representative?
David Buck, UH

2:00-2:15 AIM AHEAD: Overview & Partnerships
Marino Bruce, UH

2:15-2:45 Panel: AI in Healthcare: Challenges in Health Equity and AI/ML            

Panel Moderator: W. Liaw
(all session presenter)

2:45-3:00 Break

3:00-4:45 AI in Healthcare: Training Programs & Needs
Co-Chairs: D. Subramanian (Rice University) and A. Annapragada (BCM)

3:00-3:15 Setting up one of The Premiere Programs in the Field
Jiajie Zhang, UTHealth

3:15-3:30 Growing Collaboration for Artificial Intelligence/Machine Learning Resources to Advance Clinical Informatics/Clinical Analytics Training
TBA

3:30-3:45 Data Science and AI Training: Foundations to Applications

Matthias Heinkenschloss, Rice Univ.

3:45-4:00 AI in Healthcare Medical School Training: Existing Programs in the Houston Area & Vision for the Future
Elmer Bernstam, UT Health Science Center Houston

4:00-4:30 Panel: AI in Healthcare: Training Programs & Needs

Panel Moderators: D. Subramanian and A. Annapragada
(all session presenters, in addition to Ila Singh, BCM/TCH)