AIMC Topic: Leukemia, Myelogenous, Chronic, BCR-ABL Positive

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Artificial intelligence-driven label-free detection of chronic myeloid leukemia cells using ghost cytometry.

Scientific reports Jul 1, 2025
Early diagnosis and treatment initiation of chronic myeloid leukemia (CML) are considered to increase the rate of deep molecular response. However, the early diagnosis of CML is challenging due to the absence of clinical symptoms and peripheral blood...
Machine Learning Algorithms Female Humans Artificial Intelligence Protein Kinase Inhibitors Fusion Proteins, bcr-abl Leukemia, Myelogenous, Chronic, BCR-ABL Positive Male Flow Cytometry
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Machine learning driven dashboard for chronic myeloid leukemia prediction using protein sequences.

PloS one Jun 18, 2025
The prevalence of Leukaemia, a malignant blood cancer that originates from hematopoietic progenitor cells, is increasing in Southeast Asia, with a worrisome fatality rate of 54%. Predicting outcomes in the early stages is vital for improving the chan...
Amino Acid Sequence Proto-Oncogene Proteins c-bcl-2 Leukemia, Myelogenous, Chronic, BCR-ABL Positive Machine Learning Support Vector Machine Humans
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Neddylation status determines the therapeutic sensitivity of tyrosine kinase inhibitors in chronic myeloid leukemia.

Scientific reports May 30, 2025
BCR::ABL1-targeting tyrosine kinase inhibitors (TKIs) dominate the treatment of chronic myeloid leukemia (CML) over the past decades. In this study, we reported an unexpected role of neddylation inhibitors in desensitizing the therapeutic efficacy of...
Humans Protein Kinase Inhibitors Fusion Proteins, bcr-abl Tyrosine Kinase Inhibitors NEDD8 Protein Mice Leukemia, Myelogenous, Chronic, BCR-ABL Positive Protein Processing, Post-Translational Animals Cell Line, Tumor Drug Resistance, Neoplasm
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Autophagy crosstalk with the immune microenvironment in chronic myeloid leukemia and serves as a biomarker for diagnosis and progression.

Frontiers in immunology May 28, 2025
BACKGROUND: Previous studies have shown that autophagy is closely related to the occurrence, development, and treatment resistance of chronic myeloid leukemia (CML) and has dual roles in promoting cell survival and inducing cell death.
Biomarkers, Tumor Male Middle Aged Female Tumor Microenvironment Leukemia, Myelogenous, Chronic, BCR-ABL Positive Autophagy-Related Proteins Disease Progression Autophagy Humans Machine Learning
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Utilization of Machine Learning in the Prediction, Diagnosis, Prognosis, and Management of Chronic Myeloid Leukemia.

International journal of molecular sciences Mar 12, 2025
Chronic myeloid leukemia is a clonal hematologic disease characterized by the presence of the Philadelphia chromosome and the BCR::ABL1 fusion protein. Integrating different molecular, genetic, clinical, and laboratory data would improve the diagnost...
Leukemia, Myelogenous, Chronic, BCR-ABL Positive Machine Learning Algorithms Disease Management Fusion Proteins, bcr-abl Prognosis Humans
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Application of artificial intelligence in chronic myeloid leukemia (CML) disease prediction and management: a scoping review.

BMC cancer Aug 20, 2024
BACKGROUND: Navigating the complexity of chronic myeloid leukemia (CML) diagnosis and management poses significant challenges, including the need for accurate prediction of disease progression and response to treatment. Artificial intelligence (AI) p...
Prognosis Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans Artificial Intelligence
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Prediction of deep molecular response in chronic myeloid leukemia using supervised machine learning models.

Leukemia research Apr 15, 2024
Humans Supervised Machine Learning Leukemia, Myelogenous, Chronic, BCR-ABL Positive Prognosis
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Comparing machine learning algorithms to predict 5-year survival in patients with chronic myeloid leukemia.

BMC medical informatics and decision making Sep 6, 2022
INTRODUCTION: Chronic myeloid leukemia (CML) is a myeloproliferative disorder resulting from the translocation of chromosomes 19 and 22. CML includes 15-20% of all cases of leukemia. Although bone marrow transplant and, more recently, tyrosine kinase...
Leukemia, Myelogenous, Chronic, BCR-ABL Positive Humans Retrospective Studies Algorithms Machine Learning Support Vector Machine
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How to predict relapse in leukemia using time series data: A comparative in silico study.

PloS one Nov 15, 2021
Risk stratification and treatment decisions for leukemia patients are regularly based on clinical markers determined at diagnosis, while measurements on system dynamics are often neglected. However, there is increasing evidence that linking quantitat...
Humans Neural Networks, Computer Leukemia, Myeloid, Acute Recurrence Computer Simulation Leukemia, Myelogenous, Chronic, BCR-ABL Positive
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The LEukemia Artificial Intelligence Program (LEAP) in chronic myeloid leukemia in chronic phase: A model to improve patient outcomes.

American journal of hematology Dec 3, 2020
Extreme gradient boosting methods outperform conventional machine-learning models. Here, we have developed the LEukemia Artificial intelligence Program (LEAP) with the extreme gradient boosting decision tree method for the optimal treatment recommend...
Protein Kinase Inhibitors Leukemia, Myelogenous, Chronic, BCR-ABL Positive Models, Biological Disease-Free Survival Adult Middle Aged Survival Rate Humans Male Female Adolescent Artificial Intelligence Aged
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