Hematology

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

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Extracting and classifying diagnosis dates from clinical notes: A case study.

Myeloproliferative neoplasms (MPNs) are chronic hematologic malignancies that may progress over long...

Sep 2020 32949781
Machine learning predicts stem cell transplant response in severe scleroderma.

OBJECTIVE: The Scleroderma: Cyclophosphamide or Transplantation (SCOT) trial demonstrated clinical b...

Sep 2020 32933919
Reverse pseudohyperkalemia is more than leukocytosis: a retrospective study.

BACKGROUND: Hyperkalemia is a potentially life-threatening electrolyte abnormality that often requir...

Sep 2020 34221372
PCR-detectable DNA exists a short period in the blood of systemic candidiasis murine model.

Invasive candidiasis is a major challenge to clinical medicine today. However, traditional fungal di...

Sep 2020 33817256
A rapid white blood cell classification system based on multimode imaging technology.

In order to simplify the complexity of white blood cell classification in existing point-of-care tes...

Sep 2020 32696577
ALICE: a hybrid AI paradigm with enhanced connectivity and cybersecurity for a serendipitous encounter with circulating hybrid cells.

A fully automated and accurate assay of rare cell phenotypes in densely-packed fluorescently-labeled...

Sep 2020 33042268
Importance of general adiposity, visceral adiposity and vital signs in predicting blood biomarkers using machine learning.

INTRODUCTION: Blood biomarkers are measured for their ability to characterise physiological and dise...

Aug 2020 32770817
Objective assessment of stored blood quality by deep learning.

Stored red blood cells (RBCs) are needed for life-saving blood transfusions, but they undergo contin...

Aug 2020 32839303
Utilization of machine-learning models to accurately predict the risk for critical COVID-19.

Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk for det...

Aug 2020 32812204
Deep learning-based fetoscopic mosaicking for field-of-view expansion.

PURPOSE: Fetoscopic laser photocoagulation is a minimally invasive surgical procedure used to treat ...

Aug 2020 32808148
Numerical simulation of deformed red blood cell by utilizing neural network approach and finite element analysis.

In order to have research on the deformation characteristics and mechanical properties of human red ...

Aug 2020 32772860
A Proxy for Detecting IUGR Based on Gestational Age Estimation in a Guatemalan Rural Population.

progress of fetal development is normally assessed through manual measurements taken from ultrasoun...

Aug 2020 33733173
Assessment of the Effect of Infliximab on Immunomodulation Properties of Mesenchymal Stem Cells .

Mesenchymal stem cells (MSCs) have immunomodulatory traits making them a promising choice in the tr...

Aug 2020 34888221
Long-Term Course of Haemoglobin and Ferritin Values in High-Frequency Donors of Whole Blood and Double Erythrocyte Apheresis.

BACKGROUND: High-intensity donation is a risk factor for iron deficiency in blood donors. Interdonat...

Aug 2020 33976607
Endoscopic activity, tissue factor and Crohn's disease: findings in clinical remission patients.

BACKGROUND: As Crohn's disease (CD) is associated with a high risk of thromboembolic events (TE), in...

Aug 2020 34025780
Prospective Nonrandomized Comparison Between Open and Robot-Assisted Kidney Transplantation: Analysis of Midterm Functional Outcomes.

To compare short- and midterm outcomes of the first 55 patients undergoing robot-assisted kidney tr...

Jul 2020 32600060
Application of a new HMW framework derived ANN model for optimization of aquatic dissolved organic matter removal by coagulation.

Removing dissolved organic matter (DOM) with polyaluminium chloride is one of the primary goals of d...

Jul 2020 32799138
Morphogo: An Automatic Bone Marrow Cell Classification System on Digital Images Analyzed by Artificial Intelligence.

INTRODUCTION: The nucleated-cell differential count on the bone marrow aspirate smears is required f...

Jul 2020 32721953
Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer's Disease Neuroimaging (ADNI) database.

The Alzheimer's Disease Neuroimaging (ADNI) database is an expansive undertaking by government, acad...

Jul 2020 32716914
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