RCMI and AIM-AHEAD Virtual Workshop on Artificial Intelligence, Machine Learning, and Applications

• Deep Learning Prediction of Protein Structure and Interaction  

      Speaker: Jianlin Cheng, PhD,University of Missouri; 

• Opportunities and Challenges in the Use of AI and ML for Population Health Informatics  

      Speaker: Michael E. Matheny, MD, MS, MPH, Vanderbilt University; 

• Geoinformatics to support Biomedical Research  

      Speaker: Eugene Levin, PhD, Meharry Medical College 

Identifying Cancer Susceptibility Genes from Bioinformatics and Multi-Omics Data 

Analyses

Speaker: Xingyi Guo, PhD, Vanderbilt University

A Decade of Molecular Cell Atlases

Speaker: Stephen Quake, PhD, Stanford University

Improving Healthcare with AI: Opportunities & Challenges Across the Spectrum of Care

Speaker: Jenna Wiens, PhD, University of Michigan

Machine Learning Essentials for Biomedical Data Science

Speaker: Hoang “Long” Nguyen, PhD, Meharry Medical College

Exploring Multimorbidity in EHRs: Implications for Personalized Medicine

Speaker: Yaomin Xu, PhD, Vanderbilt University

Representing and Utilizing Clinical Textual Data for Real World Studies: An OHDSI Approach

Speaker: Hua Xu, PhD, Yale University

Targeting MYC through WDR5

Speaker: William P. Tansey, PhD, Vanderbilt University School of Medicine

High-Throughput Sequencing and Applications to Precision Oncology  

Speaker: Qingguo Wang, PhD, Meharry Medical College