Hematology

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

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Multi-step ahead predictive model for blood glucose concentrations of type-1 diabetic patients.

Continuous monitoring of blood glucose (BG) levels is a key aspect of diabetes management. Patients ...

Assessing red blood cell deformability from microscopy images using deep learning.

Red blood cells (RBCs) must be highly deformable to transit through the microvasculature to deliver ...

Deep Learning and Device-Assisted Enteroscopy: Automatic Detection of Gastrointestinal Angioectasia.

: Device-assisted enteroscopy (DAE) allows deep exploration of the small bowel and combines diagnost...

Joint Deep-Learning-Enabled Impact of Holistic Care on Line Coagulation in Hemodialysis.

In order to investigate the impact of holistic care on line coagulation and safety in hemodialysis a...

CoRE-ATAC: A deep learning model for the functional classification of regulatory elements from single cell and bulk ATAC-seq data.

Cis-Regulatory elements (cis-REs) include promoters, enhancers, and insulators that regulate gene ex...

A stratified analysis of a deep learning algorithm in the diagnosis of diabetic retinopathy in a real-world study.

BACKGROUND: The aim of our research was to prospectively explore the clinical value of a deep learni...

Prediction of Blood-Brain Barrier Penetration (BBBP) Based on Molecular Descriptors of the Free-Form and In-Blood-Form Datasets.

The blood-brain barrier (BBB) controls the entry of chemicals from the blood to the brain. Since bra...

Stretchable Soft Composites with Strain-Induced Architectured Color.

Colors enable interaction and communication between living species in a myriad of biological and art...

Regulation of aged skeletal muscle regeneration by circulating extracellular vesicles.

Heterochronic blood exchange (HBE) has demonstrated that circulating factors restore youthful featur...

IoT Application of Transfer Learning in Hybrid Artificial Intelligence Systems for Acute Lymphoblastic Leukemia Classification.

Acute lymphoblastic leukemia is the most common cancer in children, and its diagnosis mainly include...

3D convolutional neural networks for stalled brain capillary detection.

Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions, includi...

An interpretable machine learning model based on a quick pre-screening system enables accurate deterioration risk prediction for COVID-19.

A high-performing interpretable model is proposed to predict the risk of deterioration in coronaviru...

Evaluation of the Association of Transferrin Receptor Type 2 Gene Mutation (Y250X) with Iron Overload in Major β- Thalassemia.

Thalassemia is an inherited blood disorder in which the body produces defective hemoglobin. One of t...

Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin.

Sickle cell disease, a genetic disorder affecting a sizeable global demographic, manifests in sickle...

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