The Future of Medicine: From Reactive to Predictive and Personalized

The Future of Medicine: From Reactive to Predictive and Personalized

Friday May 15, 2026

•   8:00 

  
  Introduction by Allison Hall, MD 

•   8:15 - 9:00

  
  Opening keynote: Longitudinal Integrative -Omics for Personalized Medicine

  Mike Snyder, PhD Stanford University 
  Stanford W Asherman Professor of Genetics

Session 1: Digital & Remote Monitoring - Beyond the Clinic Walls

•   9:00 - 9:30

  
  Prediction of Inflammatory Bowel Disease Flairs Using Wearable Devices
  Robert Hirten, MD  Icahn School of Medicine at Mount Sinai

•   9:30 - 10:00

  
  Practical challenges: Remote Monitoring of Patients with Myasthenia Gravis
  Sophie Lehrener, MD Charite Hospital, Berlin Germany
   

•   10:00 - 10:30

  
  Patient Perspective on Patient Monitoring
  Thomas Bartlett

•   10:30 - 11:00

  
  Break

Session 2: Electronic Health Records, Data Integration & Interoperability

Session Chair Brian Choi George Washington University

•   11:00 -11:30

  
  Systematic identification of rare disease patients in electronic health records enables evaluation of clinical outcome
  Arjun Singh, National Institutes of Health

•   11:30 - 12:00
   

  Integration of Multimodel Omics Data for Precision Medicine
  Yonghyun Nam University of Pennsylvania

•   12:00 - 12:30

  
  Predictive Modeling in Health Care
  Suchi Saria Johns Hopkins University

•   12:30 - 1:30
   

  Lunch

Session 3: Multi-omics, Genomics, Proteomics in Clinical Practice

Session Chair Linda Kusner George Washington University

•   1:30 - 2:00
   

  How gene sequencing, transcriptomics, proteomics (and other “omics”) are changing medicine
  Keith Crandall, PhD George Washington University

•   2:00 - 2:30
   

  Bioinformatics innovation infrastructure and solutions for conducting data-intensive research
  Raja Mazumder, PhD George Washington University

•   2:30 - 3:00
   

  Predicting clinically manifest ALS through Proteomic analysis
  *Michael Benatar MD University of Miami

•   3:00 - 3:30
   

  Break

Session 4: Personalized Medicine

•   3:30 - 4:15
   

  Digital Twin for Clinical Trials and in the Clinic

Rates