OC 24 - Artificial Intelligence and computational modeling

Moderator(s)

• 

  David Ku, PhD MD

  Regents' Professor of Mechanical Engineering
  Georgia Tech
  Atlanta, Georgia, United States
• 

  David Bark, Jr., PhD

  Associate Professor
  Washington University in St. Louis
  SAINT LOUIS, Missouri, United States

Presentations:

• 14:45 – 15:00 ICT

  Using artificial intelligence to disrupt the vWF- GPIBα interaction in platelet-type von Willebrand disease
  

  Presenting Author: Thomas D. Kazmirchuk, PhD – Carleton University

  Co-Author: Frank Dehne – Carleton University

  Co-Author: Maha Othman, MD MSc PhD – Department of Biomedical and Molecular Sciences, School of Medicine, Queen's University, Kingston, Ontario, Canada

  Co-Author: Ashkan Golshani – Carleton University
• 15:00 – 15:15 ICT

  Heterogeneous Growth of Platelet Thrombi
  

  Presenting Author: Christopher Bresette, PhD – Georgia Institute of Technology

  Co-Author: Sarah Vandelanotte – KU Leuven Campus Kulak, Laboratory for Thrombosis Research

  Co-Author: Simon F. De Meyer – Laboratory for Thrombosis Research, IRF Life Sciences, KU Leuven Campus Kulak Kortrijk, Kortrijk, Belgium

  Co-Author: David N. Ku, PhD MD – Georgia Tech
• 15:15 – 15:30 ICT

  The trajectory of platelets is linked to the development of aGVHD after HSC transplantation
  

  Presenting Author: Dan Feng, PhD Candidate – State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College

  Co-Author: Hongtao Wang – State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College

  Co-Author: Jiaxi Zhou, Ph.D – Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College

  Co-Author: Erlie Jia – State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College
• 15:30 – 15:45 ICT

  Evaluation of an explainable, decision tree-based AI model for the optimization of thrombophilia diagnosis and thrombosis risk stratification in the outpatient setting
  

  Presenting Author: Hannah L. McRae – Institute for Experimental Hematology and Transfusion Medicine, University Hospital Bonn

  Co-Author: Fabian Kahl – Institute for Digital Medicine, University Hospital Bonn

  Co-Author: Maximilian Kapsecker – Institute for Digital Medicine, University Hospital Bonn

  Co-Author: Heiko Rühl – Institute for Experimental Hematology and Transfusion Medicine, University Hospital Bonn

  Co-Author: Stephan Jonas – Institute for Digital Medicine, University Hospital Bonn

  Co-Author: Bernd Pötzsch – Institute for Experimental Hematology and Transfusion Medicine, University Hospital Bonn
• 15:45 – 16:00 ICT

  Leveraging Explainable Artificial Intelligence Methods for Hemophilic Arthropathy: A Potential Paradigm Shift in Diagnosis and Management
  

  Presenting Author: Jia-lang Xu, PhD – Changhua Christian Hospital

  Co-Author: Ming-Ching Shen – Division of Hematology-Oncology, Department of Internal Medicine, Changhua Christian Hospital, Changhua 50046, Taiwan

  Co-Author: Shao-Li Han – Changhua Christian Hospital