Hematology

Lymphoma

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

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An active learning framework for enhancing identification of non-artifactual intracranial pressure waveforms.

OBJECTIVE: Intracranial pressure (ICP) is an important and established clinical measurement that is ...

Association Between Net Vertebral Artery Flow Volume and Non-AF Stroke: A Retrospective 2-Year Analysis.

Association between net vertebral artery flow volume (NVAFV) and stroke types remains unclear. We h...

Automatic lung nodule detection using multi-scale dot nodule-enhancement filter and weighted support vector machines in chest computed tomography.

A novel CAD scheme for automated lung nodule detection is proposed to assist radiologists with the d...

Clinical Significance of Preoperative Embolization for Non-Hypervascular Metastatic Spine Tumors.

OBJECTIVE: The efficacy of preoperative embolization for hypervascular metastatic spine disease (MSD...

Predictors of Nodal and Metastatic Failure in Early Stage Non-small-cell Lung Cancer After Stereotactic Body Radiation Therapy.

INTRODUCTION/BACKGROUND: Many patients with early stage non-small-cell lung cancer (ES-NSCLC) underg...

Machine Learning Models for Genetic Risk Assessment of Infants with Non-syndromic Orofacial Cleft.

The isolated type of orofacial cleft, termed non-syndromic cleft lip with or without cleft palate (N...

Deep learning in spiking neural networks.

In recent years, deep learning has revolutionized the field of machine learning, for computer vision...

Evaluation of growth and sporulation of a non-toxigenic strain of Clostridioides difficile (Z31) and its shelf viability.

The oral administration of non-toxigenic strains of Clostridioides difficile (NTCD) is currently sho...

Automated classification of Alzheimer's disease and mild cognitive impairment using a single MRI and deep neural networks.

We built and validated a deep learning algorithm predicting the individual diagnosis of Alzheimer's ...

Particulate Matter Exposure of Passengers at Bus Stations: A Review.

This review clarifies particulate matter (PM) pollution, including its levels, the factors affecting...

Non-invasive prediction of blood glucose trends during hypoglycemia.

Over the last four decades, there has been a pursuit for a non-invasive solution for glucose measure...

Initial results of pulmonary resection after neoadjuvant nivolumab in patients with resectable non-small cell lung cancer.

OBJECTIVE: We conducted a phase I trial of neoadjuvant nivolumab, a monoclonal antibody to the progr...

Unsupervised Two-Path Neural Network for Cell Event Detection and Classification Using Spatiotemporal Patterns.

Automatic event detection in cell videos is essential for monitoring cell populations in biomedicine...

Identifying Similar Non-Lattice Subgraphs in Gene Ontology based on Structural Isomorphism and Semantic Similarity of Concept Labels.

Non-Lattice Subgraphs (NLSs) are graph fragments of a terminology which violates the lattice propert...

SmartHeLP: Smartphone-based Hemoglobin Level Prediction Using an Artificial Neural Network.

Blood hemoglobin level (Hgb) measurement has a vital role in the diagnosis, evaluation, and manageme...

Application of Machine Learning Methods to Predict Non-Alcoholic Steatohepatitis (NASH) in Non-Alcoholic Fatty Liver (NAFL) Patients.

Non-alcoholic fatty liver disease (NAFLD) is the leading cause of chronic liver disease worldwide. N...

Improving the calling of non-invasive prenatal testing on 13-/18-/21-trisomy by support vector machine discrimination.

With the advance of next-generation sequencing (NGS) technologies, non-invasive prenatal testing (NI...

Genotoxicity evaluation of titanium dioxide nanoparticles using the mouse lymphoma assay and the Ames test.

Titanium dioxide nanoparticles (TiO-NPs) are widely used in the cosmetics, health, and food industri...

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