AIMC Topic: Anemia, Sickle Cell

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Diagnostic value of spirometry vs impulse oscillometry: A comparative study in children with sickle cell disease.

Pediatric pulmonology Jun 18, 2019
BACKGROUND: Spirometry is conventionally used to diagnose airway diseases in children with sickle cell disease (C-SCD). However, spirometry is difficult for younger children to perform, is effort dependent, and it provides limited information on resp...
Bronchodilator Agents Oscillometry Spirometry Respiratory Mechanics Vital Capacity Anemia, Sickle Cell Respiratory Function Tests Humans Machine Learning Case-Control Studies Adolescent Child ROC Curve Child, Preschool Retrospective Studies Male Female Lung Asthma
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A deep convolutional neural network for classification of red blood cells in sickle cell anemia.

PLoS computational biology Oct 19, 2017
Sickle cell disease (SCD) is a hematological disorder leading to blood vessel occlusion accompanied by painful episodes and even death. Red blood cells (RBCs) of SCD patients have diverse shapes that reveal important biomechanical and bio-rheological...
Pattern Recognition, Automated Image Interpretation, Computer-Assisted Erythrocytes Computational Biology Microscopy Humans Anemia, Sickle Cell Neural Networks, Computer
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Large-Vessel Vasculopathy in Children With Sickle Cell Disease: A Magnetic Resonance Imaging Study of Infarct Topography and Focal Atrophy.

Pediatric neurology Dec 7, 2016
BACKGROUND: Large-vessel vasculopathy (LVV) increases stroke risk in pediatric sickle cell disease beyond the baseline elevated stroke risk in this vulnerable population. The mechanisms underlying this added risk and its unique impact on the developi...
Anemia, Sickle Cell Atrophy Cerebral Angiography Retrospective Studies Magnetic Resonance Imaging Cross-Sectional Studies Adolescent Humans Child, Preschool Female Cerebral Infarction Male Brain Young Adult Child
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Machine learning to optimize automated RH genotyping using whole-exome sequencing data.

Blood advances Jun 11, 2024
Rh phenotype matching reduces but does not eliminate alloimmunization in patients with sickle cell disease (SCD) due to RH genetic diversity that is not distinguishable by serological typing. RH genotype matching can potentially mitigate Rh alloimmun...
Humans Machine Learning Genotype Genotyping Techniques Exome Sequencing Rh-Hr Blood-Group System Alleles Anemia, Sickle Cell
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Deep Learning Detection of Sea Fan Neovascularization From Ultra-Widefield Color Fundus Photographs of Patients With Sickle Cell Hemoglobinopathy.

JAMA ophthalmology Feb 1, 2021
IMPORTANCE: Adherence to screening for vision-threatening proliferative sickle cell retinopathy is limited among patients with sickle cell hemoglobinopathy despite guidelines recommending dilated fundus examinations beginning in childhood. An automat...
Humans Retrospective Studies Young Adult Adult Cross-Sectional Studies Female Reproducibility of Results Retinal Neovascularization Retinal Vessels Image Interpretation, Computer-Assisted Observer Variation Deep Learning Fluorescein Angiography Predictive Value of Tests Pattern Recognition, Automated Photography Male Anemia, Sickle Cell Middle Aged
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Applications of deep learning to the assessment of red blood cell deformability.

Biorheology Jan 1, 2021
BACKGROUND: Measurement of abnormal Red Blood Cell (RBC) deformability is a main indicator of Sickle Cell Anemia (SCA) and requires standardized quantification methods. Ektacytometry is commonly used to estimate the fraction of Sickled Cells (SCs) by...
Erythrocyte Deformability Erythrocytes Erythrocytes, Abnormal Deep Learning Anemia, Sickle Cell Humans
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The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.

Database : the journal of biological databases and curation Jan 1, 2019
Sickle cell disease (SCD) is one of the most common monogenic diseases in humans with multiple phenotypic expressions that can manifest as both acute and chronic complications. Although described more than a century ago, challenges in comprehensive d...
Knowledge Bases Anemia, Sickle Cell Biological Ontologies Humans Phenotype
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