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Featured Topic: From Code to Care: AI’s Promise & Pitfalls in Medicine

Monday, October 6, 2025
12:30 PM - 5:00 PM US EDT
Location: Grand Cypress D - F
CE: .68 CEC / 4.5 CME

This session will explore how artificial intelligence is reshaping the landscape of histocompatibility testing and transplant medicine. Participants will gain insights into how AI is enhancing processes such as virtual crossmatching and single-cell repertoire prospects, ultimately improving patient outcomes. Real-world examples will illustrate both the promise and limitations of these technologies. The presentations will also cover the transformative role of AI in solid organ (SOT) and Hematopoietic Cell transplant (HCT) and cell therapy clinical research. In addition, presenters will address ethical implications, data integrity concerns, and the need for thoughtful governance as AI becomes increasingly integrated into patient care.

To learn more please click here.

Learning Objectives:

  1. Describe current and emerging applications of artificial intelligence in histocompatibility and immunology laboratory practice, including virtual crossmatch and single-cell repertoire.
  2. Discuss how AI tools are transforming clinical decision-making in transplant medicine, including SOT and HCT.
  3. Evaluate the ethical considerations, potential risks, and governance challenges associated with implementing AI in laboratory diagnostics and transplant care.
This session will explore how artificial intelligence is reshaping the landscape of histocompatibility testing and transplant medicine. Participants will gain insights into how AI is enhancing processes such as virtual crossmatching and single-cell repertoire prospects, ultimately improving patient outcomes. Real-world examples will illustrate both the promise and limitations of these technologies. The presentations will also cover the transformative role of AI in solid organ (SOT) and Hematopoietic Cell transplant (HCT) and cell therapy clinical research. In addition, presenters will address ethical implications, data integrity concerns, and the need for thoughtful governance as AI becomes increasingly integrated into patient care.

To learn more please click here.

Presentations:

  • 12:30 PM - 12:45 PM US EDT
    Introduction to the Featured Topic

    Speaker: Medhat Askar, MD, PhD – Qatar University

  • 12:45 PM - 1:45 PM US EDT
    Laboratory Medicine Applications

    Speaker: Eric Weimer, PhD, D(ABMLI), F(ACHI) – Labcorp

    Speaker: Nicholas Borcherding, MD/PhD – Washington University St Louis

    Moderator: Nicholas K. Brown, PhD, F(ACHI) – University of Pennsylvania

    Moderator: Chang Liu, MD, PhD, A(ACHI) – Washington University in St. Louis School of Medicine

  • 1:55 PM - 3:40 PM US EDT
    Clinical Applications

    Speaker: Aziz Nazha, MD – Incyte

    Speaker: Alexandre Loupy, MD, PhD – INSERM & Université Paris Cité, Paris Transplant Group

    Speaker: Jana Lipkova, PhD – University of California Irvine

    Speaker: Weian Zhao, PhD – Aureka Biotechnologies, Inc.

    Moderator: Medhat Askar, MD, PhD – Qatar University

    Moderator: Abeer Madbouly, PhD – MHC Therapeutics Bioconsulting

  • 3:50 PM - 4:50 PM US EDT
    AI/ML Ethical, Legal, Social Implications and Pitfalls

    Speaker: Ryan Urbanowicz, PhD – Cedars Sinai Medical Center

    Speaker: Nina Horowitz, PhD – ImmuneBridge

    Speaker: Jeremy Sugarman, MD, MPH, MA – Berman Institute of Bioethics, Johns Hopkins University

    Moderator: Zachary C. Antovich, BS – Skywood Biosciences, Inc

    Moderator: Carey Killion, BS, MT(ASCP), CHS(ACHI) – KSL Diagnostics