Menopause

[The potential of artificial intelligence in myology: a viewpoint from a non-robot].

Predicting the sources of impaired wh-question comprehension in non-fluent aphasia: A cross-linguistic machine learning study on Turkish and German.

This study investigates the comprehension of wh-questions in individuals with aphasia (IWA) speaking...

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning.

Prostate cancer (PCa) is a major cause of death since ancient time documented in Egyptian Ptolemaic ...

Serum ferritin as a non-invasive marker in the prediction of hepatic fibrosis among Egyptian patients with non-alcoholic fatty liver disease.

BACKGROUND AND AIM: Many studies have found a relationship between hepatic iron, serum ferritin, and...

Artificial neural networks to predict future bone mineral density and bone loss rate in Japanese postmenopausal women.

OBJECTIVE: Predictions of the future bone mineral density and bone loss rate are important to tailor...

Specific and intrinsic sequence patterns extracted by deep learning from intra-protein binding and non-binding peptide fragments.

The key finding in the DNA double helix model is the specific pairing or binding between nucleotides...

Parenchyma-sparing hepatectomy (PSH) versus non-PSH for bilobar liver metastases of colorectal cancer.

BACKGROUND: Preoperative interventions have increased the resectability of colorectal cancer (CRC) l...

A Support Vector Machine based method to distinguish long non-coding RNAs from protein coding transcripts.

BACKGROUND: In recent years, a rapidly increasing number of RNA transcripts has been generated by th...

A Machine Learning Assisted, Label-free, Non-invasive Approach for Somatic Reprogramming in Induced Pluripotent Stem Cell Colony Formation Detection and Prediction.

During cellular reprogramming, the mesenchymal-to-epithelial transition is accompanied by changes in...

A prediction model for early death in non-small cell lung cancer patients following curative-intent chemoradiotherapy.

BACKGROUND: Early death after a treatment can be seen as a therapeutic failure. Accurate prediction ...

Classification of the trabecular bone structure of osteoporotic patients using machine vision.

Osteoporosis is a common bone disease which often leads to fractures. Clinically, the major challeng...

Metabolism, pharmacokinetics, and bioavailability of ZB716, a Steroidal Selective Estrogen Receptor Downregulator (SERD).

ZB716 is a selective estrogen receptor downregulator (SERD) with excellent oral bioavailability and ...

Intraoperative non-technical skills: a critical target for improving surgical outcomes.

Teixobactin analogues reveal enduracididine to be non-essential for highly potent antibacterial activity and lipid II binding.

Teixobactin is a highly promising antibacterial depsipeptide consisting of four d-amino acids and a ...

Detection of Sources in Non-Negative Blind Source Separation by Minimum Description Length Criterion.

While non-negative blind source separation (nBSS) has found many successful applications in science ...

Upgrade Combination Response Is Limited by Prolonged Nucelos(t)ide Analogue Therapy in HBeAg-positive Chronic Hepatitis B: A Real-life Study.

Few previous studies have reported on a combination response (hepatitis B virus (HBV) DNA undetecte...

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...