Endocrinology

Menopause

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

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Real-Time Non-Invasive Detection and Classification of Diabetes Using Modified Convolution Neural Network.

Non-invasive diabetes prediction has been gaining prominence over the last decade. Among many human ...

Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpfu...

Some new results on stability and synchronization for delayed inertial neural networks based on non-reduced order method.

In this paper, without transforming the second order inertial neural networks into the first order d...

A hierarchical classifier based on human blood plasma fluorescence for non-invasive colorectal cancer screening.

Colorectal cancer (CRC) a leading cause of death by cancer, and screening programs for its early ide...

Robust artificial neural network for reliability and sensitivity analyses of complex non-linear systems.

Artificial Neural Networks (ANNs) are commonly used in place of expensive models to reduce the compu...

Predicting hemispheric dominance for language production in healthy individuals using support vector machine.

We used a Support Vector Machine (SVM) classifier to assess hemispheric pattern of language dominanc...

Automatic Categorization and Scoring of Solid, Part-Solid and Non-Solid Pulmonary Nodules in CT Images with Convolutional Neural Network.

We present a computer-aided diagnosis system (CADx) for the automatic categorization of solid, part-...

A state-independent network of depressive, negative and positive symptoms in male patients with schizophrenia spectrum disorders.

Depressive symptoms occur frequently in patients with schizophrenia. Several factor analytical studi...

Non-proliferative diabetic retinopathy symptoms detection and classification using neural network.

Diabetic retinopathy (DR) causes blindness in the working age for people with diabetes in most count...

A flight-phase terrain following control strategy for stable and robust hopping of a one-legged robot under large terrain variations.

This work demonstrates a simple, once per step, flight-control method for robots running on a planar...

Framework for detection and localization of coronary non-calcified plaques in cardiac CTA using mean radial profiles.

BACKGROUND AND OBJECTIVE: The high mortality rate associated with coronary heart disease (CHD) has d...

Non-iterative geometric approach for inverse kinematics of redundant lead-module in a radiosurgical snake-like robot.

BACKGROUND: Snake-like robot is an emerging form of serial-link manipulator with the morphologic des...

Anatomic and non-anatomic anterior cruciate ligament posterolateral bundle augmentation affects graft function.

PURPOSE: The purpose of this study is to compare knee laxity and graft function (tissue force) betwe...

Identification of non-activated lymphocytes using three-dimensional refractive index tomography and machine learning.

Identification of lymphocyte cell types are crucial for understanding their pathophysiological roles...

Synthesis and Biological Evaluations of Ring Substituted Tetrahydroisoquinolines (THIQs) as Anti-Breast Cancer Agents.

Breast cancer is a leading cause of mortality among women, resulting in more than half a million dea...

Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data.

BACKGROUND: Machine learning algorithms hold potential for improved prediction of all-cause mortalit...

Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets.

Falls are a major cause of injuries and deaths in older adults. Even when no injury occurs, about ha...

Application of machine learning classification for structural brain MRI in mood disorders: Critical review from a clinical perspective.

Mood disorders are a highly prevalent group of mental disorders causing substantial socioeconomic bu...

Machine learning reveals a non-canonical mode of peptide binding to MHC class II molecules.

MHC class II molecules play a fundamental role in the cellular immune system: they load short peptid...

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