Hematology

Lymphoma

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

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Non-surgical management of primary hyperparathyroidism.

The purpose of this chapter is to discuss the options available for patients with primary hyperparat...

Association between vitamin D deficiency and insulin resistance markers in euthyroid non-diabetic individuals.

AIM: To evaluate the association between vitamin D deficiency and insulin resistance (IR) or hyperin...

One-pass-throw-away learning for cybersecurity in streaming non-stationary environments by dynamic stratum network.

Throughout recent times, cybersecurity problems have occurred in various business applications. Alth...

Single-view 2D CNNs with fully automatic non-nodule categorization for false positive reduction in pulmonary nodule detection.

BACKGROUND AND OBJECTIVE: In pulmonary nodule detection, the first stage, candidate detection, aims ...

Detecting Proline and Non-Proline Cis Isomers in Protein Structures from Sequences Using Deep Residual Ensemble Learning.

It has been long established that cis conformations of amino acid residues play many biologically im...

Exponential consensus of discrete-time non-linear multi-agent systems via relative state-dependent impulsive protocols.

In this paper, we discuss the exponential consensus problem of discrete-time multi-agent systems wit...

Domain Wall Motion-Based Dual-Threshold Activation Unit for Low-Power Classification of Non-Linearly Separable Functions.

Recently, a great deal of scientific endeavour has been devoted to developing spin-based neuromorphi...

Application of machine-learning to predict early spontaneous preterm birth among nulliparous non-Hispanic black and white women.

PURPOSE: Spontaneous preterm birth is a leading cause of perinatal mortality in the United States, o...

An improved robust heteroscedastic probabilistic neural network based trust prediction approach for cloud service selection.

Trustworthiness is a comprehensive quality metric which is used to assess the quality of the service...

Bipartite synchronization in coupled delayed neural networks under pinning control.

This paper considers the bipartite leader-following synchronization in a signed network composed by ...

MultiNet PyGRAPPA: Multiple neural networks for reconstructing variable density GRAPPA (a H FID MRSI study).

Magnetic resonance spectroscopic imaging (MRSI) is a powerful tool for mapping metabolite levels acr...

Artificial neural networks help to identify disease subsets and to predict lymphoma in primary Sjögren's syndrome.

OBJECTIVES: Primary Sjögren's syndrome (pSS) is a complex chronic systemic disorder, for which speci...

KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.

Cell-penetrating peptides (CPPs) facilitate the transport of pharmacologically active molecules, suc...

Adaptive non-negative projective semi-supervised learning for inductive classification.

We discuss the inductive classification problem by proposing a joint framework termed Adaptive Non-n...

Establishment of a SVM classifier to predict recurrence of ovarian cancer.

Gene expression data using retrieved ovarian cancer (OC) samples were used to identify genes of inte...

Small airway segmentation in thoracic computed tomography scans: a machine learning approach.

Small airway obstruction is a main cause for chronic obstructive pulmonary disease (COPD). We propos...

Chemically-defined lactose-based autoinduction medium for site-specific incorporation of non-canonical amino acids into proteins.

Genetic code expansion technology enables the site-specific incorporation of dozens of non-canonical...

CNN models discriminating between pulmonary micro-nodules and non-nodules from CT images.

BACKGROUND: Early and automatic detection of pulmonary nodules from CT lung screening is the prerequ...

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