Hematology

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

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Machine Learning to Quantitate Neutrophil NETosis.

We introduce machine learning (ML) to perform classification and quantitation of images of nuclei fr...

Dilated Residual Learning With Skip Connections for Real-Time Denoising of Laser Speckle Imaging of Blood Flow in a Log-Transformed Domain.

Laser speckle contrast imaging (LSCI) is a wide-field and noncontact imaging technology for mapping ...

Purification of viable peripheral blood mononuclear cells for biobanking using a robotized liquid handling workstation.

BACKGROUND: The purification of peripheral blood mononuclear cells (PBMCs) by means of density gradi...

Machine Learning-Based Prediction Models for 30-Day Readmission after Hospitalization for Chronic Obstructive Pulmonary Disease.

While machine learning approaches can enhance prediction ability, little is known about their abilit...

Predicting rehospitalization within 2 years of initial patient admission for a major depressive episode: a multimodal machine learning approach.

Machine learning methods show promise to translate univariate biomarker findings into clinically use...

Redirection of transfusion waste and by-products for xeno-free research applications.

BACKGROUND AND AIM: Whole blood is processed to derive a red cell concentrate, plasma, and buffy coa...

Sperm Tail Defects and Abnormal Testicular Blood Flow in a Beagle Dog: A Case Report.

A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal...

ThalPred: a web-based prediction tool for discriminating thalassemia trait and iron deficiency anemia.

BACKGROUND: The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency a...

Machine Learning of Discriminative Gate Locations for Clinical Diagnosis.

High-throughput single-cell cytometry technologies have significantly improved our understanding of ...

Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.

Imaging flow cytometry (IFC) produces up to 12 spectrally distinct, information-rich images of singl...

Platelet-rich emboli are associated with von Willebrand factor levels and have poorer revascularization outcomes.

BACKGROUND AND AIMS: Platelets and von Willebrand factor (vWF) are key factors in thrombosis and thu...

White blood cells detection and classification based on regional convolutional neural networks.

White blood cells (WBC) are important parts of our immune system and they protect our body against i...

A neural network approach to segment brain blood vessels in digital subtraction angiography.

BACKGROUND AND OBJECTIVE: Cerebrovascular diseases (CVDs) affect a large number of patients and ofte...

An optimal interval type-2 fuzzy logic control based closed-loop drug administration to regulate the mean arterial blood pressure.

BACKGROUND AND OBJECTIVE: The main aim of this work is to present an optimal and robust controller d...

[Development and national rollout of electronic decision support systems using artificial intelligence in the field of onco-hematology].

Systematic, structured and longitudinal collection of realtime Big Patient Data and the analysis of ...

ATBdiscrimination: An in Silico Tool for Identification of Active Tuberculosis Disease Based on Routine Blood Test and T-SPOT.TB Detection Results.

Tuberculosis remains one of the deadliest infectious diseases worldwide. Only 5-15% of people infect...

CD4+ versus CD8+ T-lymphocyte identification in an integrated microfluidic chip using light scattering and machine learning.

T lymphocytes are a group of cells representing the main effectors of human adaptive immunity. Chara...

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