Hematology

Leukemia

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

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Explainable Machine Learning Identifies Factors for Dosage Compensation in Aneuploid Human Cancer Cells.

Aneuploidy, a hallmark of cancer, leads to widespread changes in chromosome copy number, altering th...

Insights into KMT2A rearrangements in acute myeloid leukemia: from molecular characteristics to targeted therapies.

Acute myeloid leukemia (AML) with KMT2A rearrangements (KMT2A-r) represents a highly aggressive and ...

Effect of Cell-Cell Interaction on Single-Cell Behavior Revealed by a Deep Learning-Aided High-Throughput Addressable Single-Cell Coculture System.

Cell-cell interactions are crucial for understanding various physiological and pathological processe...

Biological markers and psychosocial factors predict chronic pain conditions.

Chronic pain is a multifactorial condition presenting significant diagnostic and prognostic challeng...

Unraveling the molecular mechanisms of paclitaxel in high-grade serous ovarian cancer through network pharmacology.

High-grade serous ovarian cancer (HGSOC) is the most common and aggressive subtype of epithelial ova...

Learning Dynamic Prompts for All-in-One Image Restoration.

All-in-one image restoration, which seeks to handle multiple types of degradation within a unified m...

Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data.

Early allograft dysfunction (EAD) significantly affects liver transplantation prognosis. This study ...

Research on the functions and potential mechanisms of STAT3 in chronic myelogenous leukemia.

OBJECTIVE: To explore the bioinformatics characteristics and potential mechanisms of signal transduc...

Intramedullary Bone Graft Harvest Using Reamer-Irrigator-Aspirator System: A Case Series.

Autogenous iliac crest bone grating has been the gold standard. Recently, intramedullary bone graft ...

A quantitative characterization of the heterogeneous response of glioblastoma U-87 MG cell line to temozolomide.

Most cancers are genetically and phenotypically heterogeneous. This includes subpopulations of cells...

Advancing CAR T-cell Therapies with Artificial Intelligence: Opportunities and Challenges.

Artificial intelligence could enhance chimeric antigen receptor T-cell therapy outcomes through opti...

scaLR: a low-resource deep neural network-based platform for single cell analysis and biomarker discovery.

Single-cell ribonucleic acid (RNA) sequencing (scRNA-seq) produces vast amounts of individual cell p...

Identifying GAP43, NMU, and TEX29 as Potential Prognostic Biomarkers for COPD Combined With Lung Cancer Patients Using Machine Learning.

Chronic obstructive pulmonary disease (COPD) and lung cancer, frequently comorbid conditions intrica...

Identification of Different Steaming Degrees of Panax quinquefolius L. Based on GC-IMS Combined With Machine Learning.

RATIONALE: Panax quinquefolius L. (PQ), a commonly used traditional Chinese medicine and a food, is ...

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