Endocrinology

Menopause

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

5,030 articles
Stay Ahead - Weekly Menopause research updates
Subscribe
Browse Categories
Showing 1618-1638 of 5,030 articles
Automatic snoring sounds detection from sleep sounds based on deep learning.

Snoring is a typical characteristic of obstructive sleep apnea hypopnea syndrome (OSAHS) and can be ...

An Intelligent Non-Invasive Real-Time Human Activity Recognition System for Next-Generation Healthcare.

Human motion detection is getting considerable attention in the field of Artificial Intelligence (AI...

Assessing the Scope and Predictors of Intentional Dose Non-adherence in Clinical Trials.

BACKGROUND: Although there is broad agreement that the accurate estimation of non-adherence rates in...

IGRNet: A Deep Learning Model for Non-Invasive, Real-Time Diagnosis of Prediabetes through Electrocardiograms.

The clinical symptoms of prediabetes are mild and easy to overlook, but prediabetes may develop into...

Convolutional Neural Networks in Predicting Nodal and Distant Metastatic Potential of Newly Diagnosed Non-Small Cell Lung Cancer on FDG PET Images.

The purpose of this study was to assess, by analyzing features of the primary tumor with F-FDG PET,...

Deep learned tissue "fingerprints" classify breast cancers by ER/PR/Her2 status from H&E images.

Because histologic types are subjective and difficult to reproduce between pathologists, tissue morp...

Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy.

In-room imaging is a prerequisite for adaptive proton therapy. The use of onboard cone-beam computed...

Comparison of deep learning models for natural language processing-based classification of non-English head CT reports.

PURPOSE: Natural language processing (NLP) can be used for automatic flagging of radiology reports. ...

TooT-T: discrimination of transport proteins from non-transport proteins.

BACKGROUND: Membrane transport proteins (transporters) play an essential role in every living cell b...

LoAdaBoost: Loss-based AdaBoost federated machine learning with reduced computational complexity on IID and non-IID intensive care data.

Intensive care data are valuable for improvement of health care, policy making and many other purpos...

Automated Detection and Grading of Non-Muscle-Invasive Urothelial Cell Carcinoma of the Bladder.

Accurate grading of non-muscle-invasive urothelial cell carcinoma is of major importance; however, h...

GOMCL: a toolkit to cluster, evaluate, and extract non-redundant associations of Gene Ontology-based functions.

BACKGROUND: Functional enrichment of genes and pathways based on Gene Ontology (GO) has been widely ...

ACNNT3: Attention-CNN Framework for Prediction of Sequence-Based Bacterial Type III Secreted Effectors.

The type III secretion system (T3SS) is a special protein delivery system in Gram-negative bacteria ...

The optimized algorithm based on machine learning for inverse kinematics of two painting robots with non-spherical wrist.

This paper studies the inverse kinematics of two non-spherical wrist configurations of painting robo...

DeepMILO: a deep learning approach to predict the impact of non-coding sequence variants on 3D chromatin structure.

Non-coding variants have been shown to be related to disease by alteration of 3D genome structures. ...

Identification of Non-Small Cell Lung Cancer Sensitive to Systemic Cancer Therapies Using Radiomics.

PURPOSE: Using standard-of-care CT images obtained from patients with a diagnosis of non-small cell ...

Triple-Negative Breast Cancer: A Review of Conventional and Advanced Therapeutic Strategies.

Triple-negative breast cancer (TNBC) cells are deficient in estrogen, progesterone and ERBB2 recepto...

Distinguishing drug/non-drug-like small molecules in drug discovery using deep belief network.

The advent of computational methods for efficient prediction of the druglikeness of small molecules ...

Variational approximation error in non-negative matrix factorization.

Non-negative matrix factorization (NMF) is a knowledge discovery method that is used in many fields....

Browse Categories