Latest AI and machine learning research in menopause for healthcare professionals.
Patients with Parkinson's disease (PD) in the moderate and severe stages can present several walk al...
OBJECTIVE: This preliminary study tested whether non-invasive, remote Elastic Scattering Spectroscop...
BACKGROUND: IgA nephropathy (IgAN) is a leading cause of renal failure, but its pathogenesis remains...
The development of phosphorylation-suppressing inhibitors targeting Signal Transducer and Activator ...
Advanced machine learning (ML) and deep learning (DL) methods have recently been utilized in Drug Re...
BACKGROUND AND AIMS: The significance of left ventricular mass and chamber volumes from non-contrast...
BACKGROUND: Existing biomarkers and models for predicting response to programmed cell death protein ...
Liquid biopsy (LB) involves the analysis of circulating tumour-derived DNA (ctDNA), providing a mini...
INTRODUCTION: Gadolinium-based T1-weighted MRI sequence is the gold standard for the detection of ac...
BACKGROUND/AIMS: It was recently reported that a higher concentration of the bacterially produced me...
INTRODUCTION: Hypoxia-inducible factors (HIF) regulate gene transcription, which aids hypoxia adapta...
The depth of invasion plays a critical role in predicting the prognosis of early esophageal cancer, ...
BACKGROUND: Inflammation of coronary arterial plaque is considered a key factor in the development o...
BACKGROUND: Vitiligo is a chronic autoimmune disease manifested by depigmented patches of skin devoi...
PURPOSE: To use deep learning technology to design and implement a model that can automatically clas...
This study examines the concepts of passivity and robust passivity in inertial memristive neural net...
This study aims to construct and optimize risk prediction models for lymph node metastasis (LNM) in ...
The current study focused on the development of crosslinked hydrogel microneedle patches (cHMNs) inc...
BACKGROUND: Novel circulating markers for the non-invasive staging of chronic liver disease (CLD) ar...
PURPOSE: This study developed and validated a novel deep learning radiomic biomarker to estimate res...
AIM: The current study aims to delineate subcutaneous adipose tissue (SAT), visceral adipose tissue ...