An artificial intelligence-assisted clinical framework to facilitate diagnostics and translational discovery in hematologic neoplasia.

Journal: EBioMedicine
PMID: 38810562

Abstract

BACKGROUND: The increasing volume and intricacy of sequencing data, along with other clinical and diagnostic data, like drug responses and measurable residual disease, creates challenges for efficient clinical comprehension and interpretation. Using paediatric B-cell precursor acute lymphoblastic leukaemia (BCP-ALL) as a use case, we present an artificial intelligence (AI)-assisted clinical framework clinALL that integrates genomic and clinical data into a user-friendly interface to support routine diagnostics and reveal translational insights for hematologic neoplasia.

Authors

  • Ming Tang
    Business School, Sichuan University, Chengdu 610064, China. tangming0716@163.com.
  • Željko Antić
    Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.
  • Pedram Fardzadeh
    L3S Research Centre, Leibniz University Hannover, Germany.
  • Stefan Pietzsch
    Department of Human Genetics, Hannover Medical School, Hannover, Germany.
  • Charlotte Schröder
    Department of Human Genetics, Hannover Medical School, Hannover, Germany.
  • Adrian Eberhardt
    L3S Research Centre, Leibniz University Hannover, Germany.
  • Alena van Bömmel
    Leibniz Institute on Aging - Fritz Lipmann Institute (FLI), Jena, Germany.
  • Gabriele Escherich
    Clinic of Paediatric Haematology and Oncology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
  • Winfried Hofmann
    Department of Human Genetics, Hannover Medical School, Hannover, Germany.
  • Martin A Horstmann
    Clinic of Paediatric Haematology and Oncology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany; Research Institute Children's Cancer Centre Hamburg, Hamburg, Germany.
  • Thomas Illig
    Hannover Unified Bio Bank, Hannover Medical School, Hannover, Germany.
  • J Matt McCrary
    Department of Human Genetics, Hannover Medical School, Hannover, Germany.
  • Jana Lentes
    Department of Human Genetics, Hannover Medical School (MHH), Hannover, Germany.
  • Markus Metzler
    Department of Paediatrics, University Hospital Erlangen, Erlangen, Germany.
  • Wolfgang Nejdl
    L3S Research Centre, Leibniz University Hannover, Germany.
  • Brigitte Schlegelberger
    Department of Human Genetics, Hannover Medical School, Hannover, Germany.
  • Martin Schrappe
    Department of Paediatrics, University Medical Centre Schleswig-Holstein, Campus Kiel, Kiel, Germany.
  • Martin Zimmermann
    Department of Paediatric Haematology and Oncology, Hannover Medical School, Hannover, Germany.
  • Karolina Miarka-Walczyk
    Department of Paediatrics, Oncology and Haematology, Medical University of Lodz, Lodz, Poland.
  • Agata Pastorczak
    Department of Paediatrics, Oncology and Haematology, Medical University of Lodz, Lodz, Poland.
  • Gunnar Cario
    Department of Paediatrics, University Medical Centre Schleswig-Holstein, Campus Kiel, Kiel, Germany.
  • Bernhard Y Renard
    Research Group Bioinformatics (NG4), Robert Koch Institute, 13353, Berlin, Germany.
  • Martin Stanulla
    Pediatric Hematology and Oncology, Hannover Medical School, Hannover, Germany.
  • Anke Katharina Bergmann
    Department of Human Genetics, Hannover Medical School, Hannover, Germany. Electronic address: Bergmann.Anke@mh-hannover.de.

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