Hematology

Leukemia

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

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Label-Free and Intelligent Cell Death Recognition Toward Lung Cancer Chemotherapy.

The lack of high-throughput, label-free, and intelligent recognition models for assessing cell death...

May 2025 40391419
Deep learning-based interpretable prediction of recurrence of diffuse large B-cell lymphoma.

BACKGROUND: The heterogeneous and aggressive nature of diffuse large B-cell lymphoma (DLBCL) present...

May 2025 40394100
Predicting Treatment Outcomes in Glioblastoma: A Risk Score Model for TMZ Resistance and Immune Checkpoint Inhibition.

Glioblastoma (GBM) presents significant therapeutic challenges due to its invasive nature and resist...

May 2025 40427760
Association of [F]-FDG PET/CT-Derived Radiomic Features with Clinical Outcomes and Genomic Profiles in Patients with Chronic Lymphocytic Leukemia.

The role of PET/CT imaging in chronic lymphoproliferative syndromes (CLL) is debated. This study ex...

May 2025 40428274
Advancements in Hematologic Malignancy Detection: A Comprehensive Survey of Methodologies and Emerging Trends.

The investigation and diagnosis of hematologic malignancy using blood cell image analysis are major ...

May 2025 40421320
Construction of Sonosensitizer-Drug Co-Assembly Based on Deep Learning Method.

Drug co-assemblies have attracted extensive attention due to their advantages of easy preparation, a...

May 2025 40376918
Artificial Intelligence and Data Science Methods for Automatic Detection of White Blood Cells in Images.

Data scieQuerynce (DS) methods and artificial intelligence (AI) are critical in today's healthcare s...

May 2025 40379861
Dynamic Predictive Models of Cardiogenic Shock in STEMI: Focus on Interventional and Critical Care Phases.

: While early risk stratification in STEMI is essential, the threat of cardiogenic shock (CS) persis...

May 2025 40429500
Effects of Hepatic or Renal Impairment on Pharmacokinetics of Fruquintinib.

Fruquintinib (FRUZAQLA) is a highly selective tyrosine kinase inhibitor of all three vascular endoth...

May 2025 40346878
Association of Physical Activity from Wearable Devices and Chronic Disease Risk: Insights from the All of Us Research Program.

Physical activity is a modifiable factor influencing chronic disease risk. Previous studies often re...

May 2025 40386402
Machine learning approaches reveal methylation signatures associated with pediatric acute myeloid leukemia recurrence.

Acute myeloid leukemia (AML) is a severe hematological malignancy characterized by high recurrence r...

May 2025 40328883
Identification of Npas4 as a biomarker for CICI by transcriptomics combined with bioinformatics and machine learning approaches.

Chemotherapy is one of the most successful strategies for treating cancer. Unfortunately, up to 70 %...

May 2025 40340014
An efficient patient's response predicting system using multi-scale dilated ensemble network framework with optimization strategy.

The forecasting of a patient's response to radiotherapy and the likelihood of experiencing harmful l...

May 2025 40325044
Evaluation of Artificial Intelligence Models for Nutritional Symptom Management in Breast Cancer Patients Undergoing Chemotherapy.

The purpose of the study is to determine if artificial intelligence (AI) models could provide dietar...

May 2025 40323685
Artificial intelligence-based muscle analysis risk assessment of treatment-related toxicity in metastatic colorectal cancer.

IntroductionUp to 60% of adults with metastatic colorectal cancer (mCRC) receiving combination cytot...

May 2025 40325930
Machine learning-based optimization of cytotoxicity testing for assessing Zn-based biodegradable metals.

Zinc (Zn)-based biodegradable metals are emerging as promising candidates for biomedical implants. N...

May 2025 40487167
Machine learning approach to single cell transcriptomic analysis of Sjogren's disease reveals altered activation states of B and T lymphocytes.

Sjogren's Disease (SjD) is an autoimmune disorder characterized by salivary and lacrimal gland dysfu...

May 2025 40318561
Forecasting optimal treatments in relapsed/refractory mature T- and NK-cell lymphomas: A global PETAL Consortium study.

There is no standard of care in relapsed/refractory T-cell/natural killer-cell lymphomas. Patients o...

May 2025 40310502
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