4.4 Article

Prediction of Clinical Outcomes with Explainable Artificial Intelligence in Patients with Chronic Lymphocytic Leukemia

Related references

Note: Only part of the references are listed.
Article Biochemical Research Methods

Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method

Joerg Hoffmann et al.

Summary: Minimal residual disease (MRD) detection is crucial for predicting survival and relapse in acute myeloid leukemia (AML). This study developed Cinderella, an explainable artificial intelligence (XAI) algorithm, to accurately measure the dilution of AML cells in bone marrow (BM) samples and prevent false-negative MRD results.

CYTOMETRY PART A (2023)

Review Oncology

The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Lymphoid Neoplasms

Rita Alaggio et al.

Summary: This article provides an overview of the upcoming 5th edition of the World Health Organization classification of lymphoid tumors, highlighting changes from the previous edition such as reorganization of entities, modification of nomenclature, revision of diagnostic criteria, deletion of entities, introduction of new entities, and inclusion of tumor-like lesions.

LEUKEMIA (2022)

Article Hematology

Increased frequency of CD4+PD-1+HLA-DR+ T cells is associated with disease progression in CLL

Lauren Elston et al.

BRITISH JOURNAL OF HAEMATOLOGY (2020)

Article Medical Laboratory Technology

Determination ofCD43andCD200surface expression improves accuracy of B-cell lymphoma immunophenotyping

Joerg Hoffmann et al.

CYTOMETRY PART B-CLINICAL CYTOMETRY (2020)

Article Multidisciplinary Sciences

Analyzing the fine structure of distributions

Michael C. Thrun et al.

PLOS ONE (2020)

Article Biochemical Research Methods

FlowSOM: Using self-organizing maps for visualization and interpretation of cytometry data

Sofie Van Gassen et al.

CYTOMETRY PART A (2015)

Article Medical Laboratory Technology

Spontaneousin vitroapoptosis ofde novochronic lymphocytic leukemia cells correlates with risk of the disease progression

Magdalena Witkowska et al.

CYTOMETRY PART B-CLINICAL CYTOMETRY (2014)

Article Multidisciplinary Sciences

Automated identification of stratifying signatures in cellular subpopulations

Robert V. Bruggner et al.

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2014)

Editorial Material Genetics & Heredity

The evolutionary biography of chronic lymphocytic leukemia

Xose S. Puente et al.

NATURE GENETICS (2013)

Review Oncology

Prognostic factors in chronic lymphocytic leukemia-what do we need to know?

Paula Cramer et al.

NATURE REVIEWS CLINICAL ONCOLOGY (2011)

Article Medicine, General & Internal

SF3B1 and Other Novel Cancer Genes in Chronic Lymphocytic Leukemia

Lili Wang et al.

NEW ENGLAND JOURNAL OF MEDICINE (2011)

Article Statistics & Probability

ggplot2

Hadley Wickham

WILEY INTERDISCIPLINARY REVIEWS-COMPUTATIONAL STATISTICS (2011)

Article Medicine, General & Internal

Genomic aberrations and survival in chronic lymphocytic leukemia.

H Döhner et al.

NEW ENGLAND JOURNAL OF MEDICINE (2000)