Hematology

Lymphoma

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

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Showing 1954-1974 of 9,008 articles
A novel integrated action crossing method for drug-drug interaction prediction in non-communicable diseases.

BACKGROUND AND OBJECTIVE: Drug-drug interaction (DDI) is one of the main causes of toxicity and trea...

Cancer Drug Response Profile scan (CDRscan): A Deep Learning Model That Predicts Drug Effectiveness from Cancer Genomic Signature.

In the era of precision medicine, cancer therapy can be tailored to an individual patient based on t...

Using machine-learning approaches to predict non-participation in a nationwide general health check-up scheme.

BACKGROUND: In the time since the launch of a nationwide general health check-up and instruction pro...

Evaluation of computational techniques for predicting non-synonymous single nucleotide variants pathogenicity.

The human genetic diseases associated with many factors, one of these factors is the non-synonymous ...

A metabolomics-based approach for non-invasive screening of fetal central nervous system anomalies.

BACKGROUND: Central nervous system anomalies represent a wide range of congenital birth defects, wit...

Annotating Diseases Using Human Phenotype Ontology Improves Prediction of Disease-Associated Long Non-coding RNAs.

Recently, many long non-coding RNAs (lncRNAs) have been identified and their biological function has...

Development of a Robust Algorithm for Detection of Nuclei and Classification of White Blood Cells in Peripheral Blood Smear Images.

Peripheral Blood Smear analysis plays a vital role in diagnosis of many diseases such as leukemia, a...

Prediction of plant lncRNA by ensemble machine learning classifiers.

BACKGROUND: In plants, long non-protein coding RNAs are believed to have essential roles in developm...

Classifying dysmorphic syndromes by using artificial neural network based hierarchical decision tree.

Dysmorphic syndromes have different facial malformations. These malformations are significant to an ...

An evaluation of selected (Q)SARs/expert systems for predicting skin sensitisation potential.

Predictive testing to characterise substances for their skin sensitisation potential has historicall...

Endocardial linear infarct exclusion technique for non-ischaemic functional mitral regurgitation caused by cardiac sarcoidosis: a case report.

INTRODUCTION: Damage to the posterior wall of the left ventricle (LV) can cause tethering mitral reg...

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...

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