Prediction of clinical outcomes with explainable artificial intelligence in patients with chronic lymphocytic leukemia

HIGHLIGHTS

  • who: Joerg Hoffmann and colleagues from the Department of Hematology, Oncology and Immunology, Philipps University Marburg, University Hospital Giessen and Marburg, Baldingerstrasse, Marburg, Germany have published the paper: Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia, in the Journal: (JOURNAL)
  • what: The ALPODS XAI algorithm identified and described highly predictive immune cell populations related to outcomes in CLL.
  • how: For diagnosing CLL and other B-cell lymphomas the authors used a B-cell panel which consisted of two tubes with different fluorescence antibody panels. The authors developed . . .

     

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