Hematology

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

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A potential predictive model based on machine learning and CPD parameters in elderly patients with aplastic anemia and myelodysplastic neoplasms.

BACKGROUND: Aplastic anemia (AA) and myelodysplastic neoplasms (MDS) have similar peripheral blood m...

Dec 2024 39695587
Predicting blood transfusion demand in intensive care patients after surgery by comparative analysis of temporally extended data selection.

BACKGROUND: Blood transfusion (BT) is a critical aspect of medical care for surgical patients in the...

Dec 2024 39695617
Leveraging machine learning models for anemia severity detection among pregnant women following ANC: Ethiopian context.

BACKGROUND: Anemia during pregnancy is a significant public health concern, particularly in resource...

Dec 2024 39696213
Effects of Cell-Free Fat Extract and Platelet-Rich Fibrin on Scar Maturation in an Experimental Rabbit Ear Wound Model.

BACKGROUND: Multiple methods have been used to treat hypertrophic scarring; however, an optimal trea...

Dec 2024 39712941
Spontaneous Hepatic Rupture Complicating Preeclampsia and HELLP Syndrome: A Case Report.

Spontaneous hepatic rupture is a rare complication that occurs in pregnant mothers with HELLP syndr...

Dec 2024 39720327
Are we ready to integrate advanced artificial intelligence models in clinical laboratory?

The application of advanced artificial intelligence (AI) models and algorithms in clinical laborator...

Dec 2024 39703759
Super-resolution left ventricular flow and pressure mapping by Navier-Stokes-informed neural networks.

Intraventricular vector flow mapping (VFM) is an increasingly adopted echocardiographic technique th...

Dec 2024 39672010
Blood Biomarker Signatures for Slow Gait Speed in Older Adults: An Explainable Machine Learning Approach.

Maintaining physical function is crucial for independent living in older adults, with gait speed bei...

Dec 2024 39674557
Evaluation of plant-based coagulants for turbidity removal and coagulant dosage prediction using machine learning.

This study investigates the use of six plant-based coagulants - , , , , , and for the removal of tu...

Dec 2024 39661933
Residual risk prediction in anticoagulated patients with atrial fibrillation using machine learning: A report from the GLORIA-AF registry phase II/III.

BACKGROUND: Although oral anticoagulation decreases the risk of thromboembolism in patients with atr...

Dec 2024 39660499
Convolutional neural networks for automatic MR classification of myocardial iron overload in thalassemia major patients.

OBJECTIVES: To develop a deep-learning model for supervised classification of myocardial iron overlo...

Dec 2024 39658686
Classification of acute myeloid leukemia by pre-trained deep neural networks: A comparison with different activation functions.

Acute Myeloid Leukemia(AML) is a rapidly progressing cancer affecting blood and bone marrow, marked ...

Dec 2024 39922655
Transferable automatic hematological cell classification: Overcoming data limitations with self-supervised learning.

BACKGROUND AND OBJECTIVE: Classification of peripheral blood and bone marrow cells is critical in th...

Dec 2024 39693791
Heparin in sepsis: current clinical findings and possible mechanisms.

Sepsis is a clinical syndrome resulting from the interaction between coagulation, inflammation, immu...

Dec 2024 39712008
Computational modeling of superparamagnetic nanoparticle-based (affinity) diagnostics.

INTRODUCTION: Magnetic nanoparticles (MNPs), particularly iron oxide nanoparticles (IONPs), are reno...

Dec 2024 39713099
Robust modelling of arterial blood pressure reconstruction from photoplethysmography.

Blood pressure is a crucial indicator of cardiovascular disease, and arterial blood pressure (ABP) w...

Dec 2024 39639103
BP-Net: Monitoring "Changes" in Blood Pressure Using PPG With Self-Contrastive Masking.

Estimating blood pressure (BP) values from physiological signals (e.g., photoplethysmogram (PPG)) us...

Dec 2024 38954566
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