Hematology

Lymphoma

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

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Showing 1975-1995 of 9,019 articles
Learning-based endovascular navigation through the use of non-rigid registration for collaborative robotic catheterization.

PURPOSE: Endovascular intervention is limited by two-dimensional intraoperative imaging and prolonge...

Identifying tumor in pancreatic neuroendocrine neoplasms from Ki67 images using transfer learning.

The World Health Organization (WHO) has clear guidelines regarding the use of Ki67 index in defining...

Early robot-assisted gait retraining in non-ambulatory patients with stroke: a single blind randomized controlled trial.

BACKGROUND: Restoration of walking function is a primary concern of neurorehabilitation with respect...

Empirical radio propagation model for DTV applied to non-homogeneous paths and different climates using machine learning techniques.

The establishment and improvement of transmission systems rely on models that take into account, (am...

Robotic Patterning a Superhydrophobic Surface for Collective Cell Migration Screening.

Collective cell migration, in which cells migrate as a group, is fundamental in many biological and ...

Large-scale assessment of benthic communities across multiple marine protected areas using an autonomous underwater vehicle.

Marine protected areas (MPAs) are designed to reduce threats to biodiversity and ecosystem functioni...

Cascaded neural networks improving fish species prediction accuracy: the role of the biotic information.

Species distribution is the result of complex interactions that involve environmental parameters as ...

An efficient, large-scale, non-lattice-detection algorithm for exhaustive structural auditing of biomedical ontologies.

One of the basic challenges in developing structural methods for systematic audition on the quality ...

MetaGO: Predicting Gene Ontology of Non-homologous Proteins Through Low-Resolution Protein Structure Prediction and Protein-Protein Network Mapping.

Homology-based transferal remains the major approach to computational protein function annotations, ...

The Discovery of an Iridium(III) Dimer Complex as a Potent Antibacterial Agent against Non-Replicating Mycobacterium smegmatis.

Novel agents are urgently needed to rapidly kill drug-resistant . Noble metal complexes, particularl...

Non-monotonic convergence of online learning algorithms for perceptrons with noisy teacher.

Learning curves of simple perceptron were derived here. The learning curve of the perceptron learnin...

Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.

Alzheimer's disease (AD) is one of the most common neurodegenerative diseases with a commonly seen p...

Mixed Th2 and non-Th2 inflammatory pattern in the asthma-COPD overlap: a network approach.

INTRODUCTION: The asthma-chronic obstructive pulmonary disease (COPD) overlap (ACO) is a clinical co...

Deep Learning for Quantification of Epicardial and Thoracic Adipose Tissue From Non-Contrast CT.

Epicardial adipose tissue (EAT) is a visceral fat deposit related to coronary artery disease. Fully ...

A Systematic Machine Learning Based Approach for the Diagnosis of Non-Alcoholic Fatty Liver Disease Risk and Progression.

Prevention and diagnosis of NAFLD is an ongoing area of interest in the healthcare community. Screen...

Predicting non-melanoma skin cancer via a multi-parameterized artificial neural network.

Ultraviolet radiation (UVR) exposure and family history are major associated risk factors for the de...

PlaNC-TE: a comprehensive knowledgebase of non-coding RNAs and transposable elements in plants.

Transposable elements (TEs) play an essential role in the genetic variability of eukaryotic species....

Tiresias: Context-sensitive Approach to Decipher the Presence and Strength of MicroRNA Regulatory Interactions.

MicroRNAs (miRNAs) are short non-coding RNAs that regulate expression of target messenger RNAs (mRNA...

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