Latest AI and machine learning research in menopause for healthcare professionals.
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 ...
BACKGROUND: Sepsis is a life-threatening organ dysfunction condition produced by dysregulation of th...
PURPOSE: Precision oncology in non-small cell lung cancer (NSCLC) relies on biomarker testing for cl...
PURPOSE: This study aimed to develop and evaluate a machine learning model combining clinical, radio...
In randomized, placebo controlled clinical trials (RCT) in major depressive disorders (MDD), treatme...
Citrus fruits are widely consumed for their nutritional value and taste; however, juice sac granulat...
Multi-omics data integration has become increasingly crucial for a deeper understanding of the compl...
Triple-negative breast cancer (TNBC) lacks estrogen, progesterone, and HER2 expression, accounting f...
Highly selective C-H functionalization remains an ongoing challenge in organic synthetic methodologi...
BACKGROUND: Epidermal growth factor receptor (EGFR) T790M mutation often occurs during long duration...
Coronary artery disease (CAD) is one of the most common causes of sudden cardiac arrest, accounting ...
BackgroundBreast cancer results from an uncontrolled growth of breast tissue. Many methods of diagno...
BACKGROUND: The angiography-derived non-hyperemic pressure ratio (angioNHPR) is a novel index of NHP...
Breast cancer is a global concern as a leading cause of death for women. Early and precise diagnosis...
BACKGROUND: Osteoporosis is one of the most common metabolic diseases that is characterized by a dec...
Polyfluoro-alkyl substances (PFAS) are widely distributed environmental contaminants linked to human...
BACKGROUND/INTRODUCTION: To evaluate the performance of pre-trained deep learning schemes (DLS) in h...