Moderator: David Elad

• Metin Akay, President IEEE-Engineering in Medicine and Biology Society, Department of Biomedical Engineering, University of Houston
• Noam Eliaz, Dean, Faculty of Engineering, Tel Aviv University
  

• Ali Tinazli, Lifespin                                                                                                   
  “An End-to-End (E2E) Solution Bridging IVD and Cloud for Personalized Health Diagnostics Through Digital Metabolic Analysis”
• Thomas Wilckens, InnVentis Ltd
  “Precision Medicine, Data Hungry but Hard to Feed or What Major Efforts are Needed to Secure its Success”
• Josh Schulman, Joy Ventures
   “A Data Strategy for Next-Generation Brain Diagnostics and Therapeutics”

• David Fenstermacher, Health Catalyst
  “Using FAIR Data Principles to Transform Healthcare Data for Advanced Analytics
• Yuval Shahar, Ben Gurion University
  “Knowledge-Based Integration of Multiple Types of Time Oriented Biomedical Data, for the Purpose of Clustering, Classification, and Prediction”
• Inbal Zafir-Lavie, Gina Life
  “Data Science and Machine Learning in Women’s Health: Development of Early Detection Test for Ovarian Cancer.”
  
• Ran Gilad-Bachrach, Tel Aviv University
  “Using Trees for Making Predictions on Graphs and Sets and Their Applications in the Bio-Medical Domain”

• Hayit Greenspan, Tel Aviv University
  “AI in Medical Imaging – Initial Steps Towards Supporting Detection and Monitoring of Disease”
  
• Andrew Laine, Columbia University
  “Data Harmonization: An Imaging-Driven Omics Database / Repository for Retrospective Understanding of COPD and Planning for Future Care”
• Alex Frangi, University of Leeds                                                                                     
  “Computational Precision Imaging and Medicine in Regulatory Science”

• Noam Shomron, Tel Aviv University
  “Bioinformatics Aiding Medical Decisions”
  
• Kira Radinsky, Diagnostic Robotics
  “The Next Frontier of AI-driven Triage and Preventive Care”
• May Wang, Georgia Institute of Technology
  “Challenges and Opportunities of Biomedical Big Data and AI in Digital Health Transformation” 
  
• David Clifton, University of Oxford  
  “Healthcare Interventions Based on Non-Imaging AI”