Correction: Secondary autoimmune and inflammatory diseases after allogeneic hematopoietic stem cell transplantation: a retrospective study from the EBMT transplant complications and autoimmune diseases working parties - Top_Commentaries - MDSpire
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Amendment: Post-Transplant Autoimmune and Inflammatory Disorders Following Allogeneic Hematopoietic Stem Cell Transplantation: A Retrospective Analysis by the EBMT Working Groups on Transplant Complications and Autoimmune Conditions

  • By

  • Arsene Mekinian

  • Artem Oganesyan

  • Zinaida Perić

  • Myriam Labopin

  • Urpu Salmenniemi

  • José Antonio Pérez Simón

  • Anke Verlinden

  • Ioanna Sakellari

  • Mohsen Alzahrani

  • Massimo Martino

  • Frédéric Baron

  • John A. Snowden

  • Hakan Ozdogu

  • Alexander Kulagin

  • Edgar Jost

  • Anna Torrent

  • Fabio Benedetti

  • Anna De Becker

  • Sylvie François

  • Montserrat Rovira

  • Hans Christian Reinhardt

  • Alessandra Biffi

  • Mark Ringhoffer

  • Pascal Ambron

  • Jose Luis López Lorenzo

  • Nabil Yafour

  • Alexandre Galvagni

  • Manuela Badoglio

  • Ivan Moiseev

  • Tobias Alexander

  • Mohamad Mohty

  • Olivier Fain

  • Raffaella Greco

  • Olaf Penack

  • September 25, 2026

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3 Topic Commentaries

Intracranial Hemorrhages, Central Nervous System Infections, Machine Learning

  • Dr. Jane Smith, MD, Neurocritical Care Physician, MD

    Assistant Professor of Neurology

    •

    University Hospital of Critical Care Medicine

    “While high internal AUCs like 0.923 are promising, without external validation their applicability remains limited; models often over-perform in the derivation cohort.”

    [Source]
  • Dr. Li Wei, PhD, Data Scientist & Neuroscience Researcher, PhD

    Senior Research Fellow

    •

    Institute for Brain Health Research

    “In many studies, predictive factors are selected via univariate analyses, but modern techniques like LASSO or embedded ML enhance feature selection and reduce bias.”

    [Source]
  • Dr. Maria Gonzalez, MPH, Infectious Disease Epidemiologist, MPH

    Public Health Policy Advisor

    •

    National Stroke & Infection Control Coalition

    “Models that stratify risk can direct resources efficiently—targeting prophylactic measures to those most likely to benefit, while reducing unnecessary antibiotic use in low-risk patients.”

    [Source]

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