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Hematology Subcategories: Hematology Hemophilia Leukemia Lymphoma Multiple Myeloma Myeloma

Showing 400-420 of 7,897 articles

Considerations for using tree-based machine learning to assess causation between demographic and environmental risk factors and health outcomes.

Evaluation of the heterogeneous treatment effect (HTE) allows for the assessment of the causal effec...

Oct 2024 PMID: 39394473

Features selection in a predictive model for cardiac surgery-associated acute kidney injury.

BackgroundCardiac surgery-associated acute kidney injury (CSA-AKI) is related to increased morbidity...

Oct 2024 PMID: 39382228

Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

BACKGROUND: The I-SPY 2 trial is a national-wide, multi-institutional clinical trial designed to eva...

Oct 2024 PMID: 39369684

Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

BACKGROUND: Preoperative chemotherapy (PC) is an important component of Colorectal cancer (CRC) trea...

Oct 2024 PMID: 39374811

Computed Tomography-Based Radiomics with Machine Learning Outperforms Radiologist Assessment in Estimating Colorectal Liver Metastases Pathologic Response After Chemotherapy.

OBJECTIVES: This study was designed to assess computed tomography (CT)-based radiomics of colorectal...

Oct 2024 PMID: 39369120

Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study.

AIMS: This study aims to compare the performance of contemporary machine learning models with statis...

Oct 2024 PMID: 39413583

Peripheral Blood Mononuclear Cell Biomarkers for Major Depressive Disorder: A Transcriptomic Approach.

Major depressive disorder (MDD) is a complex condition characterized by persistent depressed mood, ...

Oct 2024 PMID: 40226717

Self-adaptive label discovery and multi-view fusion for complementary label learning.

Unlike traditional supervised classification, complementary label learning (CLL) operates under a we...

Oct 2024 PMID: 39378603

Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls.

Acute Myeloid Leukaemia (AML) is characterized by uncontrolled growth of immature myeloid cells, dis...

Oct 2024 PMID: 39366464

Rethinking deep clustering paradigms: Self-supervision is all you need.

The recent advances in deep clustering have been made possible by significant progress in self-super...

Oct 2024 PMID: 39383676

Employing Machine Learning Models to Predict Potential α-Glucosidase Inhibitory Plant Secondary Metabolites Targeting Type-2 Diabetes and Their Validation.

The need for new antidiabetic drugs is evident, considering the ongoing global burden of type-2 diab...

Oct 2024 PMID: 39352297

Wee1 inhibitor optimization through deep-learning-driven decision making.

Deep learning has gained increasing attention in recent years, yielding promising results in hit scr...

Sep 2024 PMID: 39369485

Machine learning predicts cuproptosis-related lncRNAs and survival in glioma patients.

Gliomas are the most common tumor in the central nervous system in adults, with glioblastoma (GBM) r...

Sep 2024 PMID: 39333603

Interpretable machine learning models for the prediction of all-cause mortality and time to death in hemodialysis patients.

INTRODUCTION: The elevated mortality and hospitalization rates among hemodialysis (HD) patients unde...

Sep 2024 PMID: 39327762

BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset.

Acute leukemia is characterized by the swift proliferation of immature white blood cells (WBC) in th...

Sep 2024 PMID: 39322814

Multiplexed bacterial recognition based on "All-in-One" semiconducting polymer dots sensor and machine learning.

The accurate discrimination of bacterial infection is imperative for precise clinical diagnosis and ...

Sep 2024 PMID: 39341060

Deep learning reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation.

One of the key tissue movements driving closure of a wound is re-epithelialisation. Earlier wound he...

Sep 2024 PMID: 39177163

Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning.

Leukemia is a type of blood tumour that occurs because of abnormal enhancement in WBCs (white blood ...

Sep 2024 PMID: 39294306

Hematology

Browse Specialties

Considerations for using tree-based machine learning to assess causation between demographic and environmental risk factors and health outcomes.

Features selection in a predictive model for cardiac surgery-associated acute kidney injury.

Prediction of pathological complete response to chemotherapy for breast cancer using deep neural network with uncertainty quantification.

Bulk integrated single-cell-spatial transcriptomics reveals the impact of preoperative chemotherapy on cancer-associated fibroblasts and tumor cells in colorectal cancer, and construction of related predictive models using machine learning.

Computed Tomography-Based Radiomics with Machine Learning Outperforms Radiologist Assessment in Estimating Colorectal Liver Metastases Pathologic Response After Chemotherapy.

Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study.

Peripheral Blood Mononuclear Cell Biomarkers for Major Depressive Disorder: A Transcriptomic Approach.

Self-adaptive label discovery and multi-view fusion for complementary label learning.

Machine learning based analysis of single-cell data reveals evidence of subject-specific single-cell gene expression profiles in acute myeloid leukaemia patients and healthy controls.

Rethinking deep clustering paradigms: Self-supervision is all you need.

Employing Machine Learning Models to Predict Potential α-Glucosidase Inhibitory Plant Secondary Metabolites Targeting Type-2 Diabetes and Their Validation.

Wee1 inhibitor optimization through deep-learning-driven decision making.

Machine learning predicts cuproptosis-related lncRNAs and survival in glioma patients.

Interpretable machine learning models for the prediction of all-cause mortality and time to death in hemodialysis patients.

BSNEU-net: Block Feature Map Distortion and Switchable Normalization-Based Enhanced Union-net for Acute Leukemia Detection on Heterogeneous Dataset.

Multiplexed bacterial recognition based on "All-in-One" semiconducting polymer dots sensor and machine learning.

Deep learning reveals a damage signalling hierarchy that coordinates different cell behaviours driving wound re-epithelialisation.

Deep learning for rapid analysis of cell divisions in vivo during epithelial morphogenesis and repair.

Maxillofacial bone movements-aware dual graph convolution approach for postoperative facial appearance prediction.

Combining clinical and molecular data for personalized treatment in acute myeloid leukemia: A machine learning approach.

Leukemia detection and classification using computer-aided diagnosis system with falcon optimization algorithm and deep learning.

Browse Specialties