Hematology

Leukemia

Latest AI and machine learning research in leukemia for healthcare professionals.

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Showing 274-294 of 6,552 articles
Biomarkers and advances in AML-MRC: from bench to bedside.

Acute myeloid leukemia with myelodysplasia-related changes (AML-MRC) represents a high-risk subtype ...

Feb 2026 41711916
The optimal conditioning intensity of stem cell transplantation for acute myeloid leukemia in complete remission.

UNLABELLED: This study aimed to identify patient groups in which myeloablative conditioning (MAC) or...

Feb 2026 41711974
Deep Learning Integration of Endoscopic Ultrasound Features and Serum Data Reveals LTB4 as a Diagnostic and Therapeutic Target in ESCC.

BACKGROUND: Early diagnosis and accurate prediction of treatment response in esophageal squamous cel...

Feb 2026 40965275
Post-treatment infection prediction in CLL using domain adaptation of lymphoma electronic health records.

BACKGROUND AND PURPOSE: Infections are the leading cause of morbidity and mortality in patients with...

Feb 2026 41711490
The consensus molecular subtypes of esophageal squamous cell carcinoma.

Esophageal squamous cell carcinoma (ESCC) lacks a standardized classification system, resulting in i...

Feb 2026 41714596
Guidelines on optimizing DNA methylation reference panels for cell-type deconvolution.

Accurate cell-type deconvolution is critical for correct interpretation of Epigenome-Wide Associatio...

Feb 2026 41708983
Design and development of a convolutional neural network based on human cognitive attention mechanism for automatic classification of leukemia.

Cancer occurs when healthy cells in the body grow abnormally and out of control. Leukemia is a type ...

Feb 2026 41712654
Systemic immunometabolic profiling classifies cisplatin sensitivity states using interpretable machine learning.

Cisplatin resistance limits the effectiveness of platinum-based chemotherapy for lung adenocarcinoma...

Feb 2026 41852739
Automated CLL cell population detection using a weakly supervised approach and CLL MRD flow cytometry data.

Minimal/measurable residual disease detection is routinely performed as part of post-diagnostic trea...

Feb 2026 41700529
Machine learning-based prediction of significant intraoperative blood loss to guide risk-adapted blood management decisions in spinal surgery.

INTRODUCTION: Significant blood loss (≥ 500 mL) during spinal surgery is common and linked to greate...

Feb 2026 41702326
Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.

UNLABELLED: Genetically engineered mouse models (GEMM) of cancer are useful for exploring the develo...

Feb 2026 41223329
Machine Learning Methods to Identify Pediatric Shunt Malfunction in the Acute Care Setting and the Development of ShuntGPT.

BACKGROUND AND OBJECTIVES: Identifying predictors of shunt failure in acute care settings is challen...

Feb 2026 41697038
Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer.

Insulin resistance is suggested to be a risk factor for cancer; however, large-scale epidemiological...

Feb 2026 41698886
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