Menopause

Novel Deep Learning Model to Estimate Knee Flexion and Adduction Moments with Wearable IMUs during Treadmill and Overground Walking.

A major issue after total knee replacement (TKR) surgery is asymmetric gait kinetics, which increase...

Autophagy-related biomarkers in non-obstructive azoospermia: insights from transcriptomics and single-cell sequencing.

OBJECTIVE: Autophagy, by modulating cellular degradation and recycling processes, affects sperm cell...

Deep learning for classification of aggressive versus non-aggressive central giant cell granuloma using whole-slide histopathology images.

Microscopic images of aggressive and non-aggressive cases of central giant cell granuloma (CGCG) wer...

A Wearable AI-Driven Mask with Humidity-Sensing Respiratory Microphone for Non-Vocal Communication.

Hoarseness and dysphonia caused by vocal cord conditions or laryngeal surgeries significantly hinder...

Machine learning application to predict binding affinity between peptide containing non-canonical amino acids and HLA-A0201.

Class Ι major histocompatibility complexes (MHC-Ι), encoded by the highly polymorphic HLA-A, HLA-B, ...

3Mont: A multi-omics integrative tool for breast cancer subtype stratification.

Breast Cancer (BRCA) is a heterogeneous disease, and it is one of the most prevalent cancer types am...

Non-conventional diagnostic tools for lower urinary tract symptoms and bladder outlet obstruction in men: a perspective review.

Introduction Assessing male lower urinary tract symptoms (LUTS) due to Benign outlet obstruction (BO...

Aptamer-directed siRNA delivery systems for triple-negative breast cancer therapy.

Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer characterized by the ...

Efficacy of an Automated Pulmonary Embolism (PE) Detection Algorithm on Routine Contrast-Enhanced Chest CT Imaging for Non-PE Studies.

The urgency to accelerate PE management and minimize patient risk has driven the development of arti...

Artificial intelligence for predicting the risk of bone fragility fractures in osteoporosis.

Osteoporosis is widespread with a high incidence rate, resulting in fragility fractures which are a ...

Non-invasive prediction of NSCLC immunotherapy efficacy and tumor microenvironment through unsupervised machine learning-driven CT Radiomic subtypes: a multi-cohort study.

BACKGROUND: Radiomics analyzes quantitative features from medical images to reveal tumor heterogenei...

Machine learning-based QSAR and molecular modeling identify promising PTP1B modulators from Ocimum gratissimum for type 2 diabetes therapy.

Protein tyrosine phosphatase 1B (PTP1B) is a key negative regulator of insulin signaling and a promi...

Machine Learning-Based Biomarker Discovery from Serum Trace Elements and Biochemical Parameters in Patients with Nasal Polyps.

Nasal polyps (NP) are benign mucosal outgrowths associated with chronic inflammation that can signif...

Axial Skeletal Assessment in Osteoporosis Using Radiofrequency Echographic Multi-spectrometry: Diagnostic Performance, Clinical Utility, and Future Directions.

Osteoporosis, a prevalent skeletal disorder, necessitates accurate and accessible diagnostic tools f...

Supervised Learning in Dynamic and Non Stationary Environments.

One central theme in machine learning is function estimation from sparse and noisy data. An example ...

Non-invasive Assessment of Urinary Exfoliated Proximal Tubule Cell Multispectral Autofluorescence May Differentiate Between Causes of Kidney Transplant Dysfunction.

BACKGROUND: Complications relating to delayed or deteriorating graft function following kidney trans...

Decoding the interactions and functions of non-coding RNA with artificial intelligence.

In addition to encoding proteins, mRNAs have context-specific regulatory roles that contribute to ma...

Accurate prediction of disease-free and overall survival in non-small cell lung cancer using patient-level multimodal weakly supervised learning.

With the rapid progress in artificial intelligence (AI) and digital pathology, prognosis prediction ...

Enhancing non-invasive early detection of gastric cancer: a critical reflection on exosome ncRNA and machine learning.

Large Language Model-Assisted Surgical Consent Forms in Non-English Language: Content Analysis and Readability Evaluation.

BACKGROUND: Surgical consent forms convey critical information; yet, their complex language can limi...

Development and validation of an AI-driven radiomics model using non-enhanced CT for automated severity grading in chronic pancreatitis.

OBJECTIVE: To develop and validate the chronic pancreatitis CT severity model (CATS), an artificial ...