Latest AI and machine learning research in transplantation for healthcare professionals.
Artificial Intelligence models pose serious challenges to intensive computing and high-bandwidth com...
Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. ...
Artificial intelligence (AI) is increasingly shaping radiology, though its integration into paediatr...
[This corrects the article DOI: 10.2196/55046.].
Breast cancer heterogeneity limits the precision of current prognostic and therapeutic strategies, u...
Our prognostic model and mobile application enable multi-time-point prognostic evaluation for patien...
As one of the most extensively studied neurotransmitters in the central nervous system, dopamine exe...
The tumor microenvironment (TME) comprises diverse cellular components that spatially interact to fo...
Electromagnetic interference (EMI) analysis in high-speed industrial systems is increasingly challen...
IgA nephropathy (IgAN) is the most common primary glomerulonephritis, requiring improved diagnostic ...
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder in which aberrant B-cell a...
MOTIVATION: Hydrogen/deuterium exchange-mass spectrometry (HX-MS) is a rapidly expanding technique u...
Volumetric-modulated arc therapy (VMAT) planning for locally advanced non-small cell lung cancer (NS...
Large Language Models (LLMs) with hundreds of billions of parameters have exhibited human-like intel...
Maintaining optimal health and preventing diabetes-related complications require accurate and timely...
Tumorigenesis can be induced by diverse environmental carcinogens, with mercury (Hg)-a global pollut...
PURPOSE: Obesity is strongly associated with hepatocellular carcinoma (HCC), yet the molecular mecha...
This paper introduces a strict AI-based framework of analysis of HRES in technical and economic dime...
INTRODUCTION/AIMS: Myasthenia gravis (MG) is associated with thymic neoplasms. However, an increased...
PURPOSE: To map and synthesise current evidence on machine learning (ML) applications for anterior c...
OCCUPATIONAL APPLICATIONSThis pilot study demonstrates the feasibility of using EEG-derived features...