Latest AI and machine learning research in menopause for healthcare professionals.
Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics s...
OBJECTIVE: To compare the safety and accuracy of manual and robot-assisted cortical bone trajectory ...
Delineation of organs at risk (OARs) is important but time consuming for radiotherapy planning. Auto...
Fibrosis is a significant indication of chronic liver diseases often due to hepatitis C Virus. It is...
Image registration represents one of the fundamental techniques in medical imaging and image-guided ...
BACKGROUND: The diagnostic performance of CT for pancreatic cancer is interpreter-dependent, and app...
OBJECTIVE: Non-small cell lung cancer is a leading cause of cancer death worldwide, and histopatholo...
BACKGROUND: Prognostic modeling in health care has been predominantly statistical, despite a rapid g...
INTRODUCTION: Real-time electronic adherence monitoring (EAM) systems could inform on-going risk ass...
MOTIVATION: Gram-positive bacteria have developed secretion systems to transport proteins across the...
Compounded medicinal products should be prepared using an appropriate quality-assurance system. Clea...
BACKGROUND: Osteoporosis, a silent killing disease of fracture risk, is normally determined based on...
Congenital heart disease (CHD) is one of the most common birth defects, with complex genetic and env...
With the continuous development of artificial intelligence (AI) technology, big data-supported AI te...
In recent years, more and more evidence indicates that long non-coding RNA (lncRNA) plays a signific...
Nuclear receptors (NRs) are a superfamily of ligand-dependent transcription factors that are closely...
MOTIVATION: Over the past two decades, a circular form of RNA (circular RNA), produced through alter...
BACKGROUND: The current study is aimed to examine the impact of pharmacokinetics and gene polymorphi...
BACKGROUND: Histoplasmosis pulmonary nodules often present in computed tomography (CT) imaging with ...
This study aims to produce non-contrast computed tomography (CT) images using a deep convolutional n...
PURPOSE: The prediction of clinical outcomes for patients with cancer is central to precision medici...