Latest AI and machine learning research in rheumatology for healthcare professionals.
We propose a complete hardware-based architecture of multilayer neural networks (MNNs), including el...
Deep learning has emerged as the leading method in machine learning, spawning a rapidly growing fiel...
The incidence and complexity of drug-induced autoimmune diseases (DIAD) have been on the rise in rec...
Mycobacterium tuberculosis (Mtb) is a pathogen of major concern due to its ability to withstand both...
Non-coding RNAs (ncRNAs) play an important role in revealing the mechanism of human disease for anti...
In this retrospective study, 10,000 anteroposterior (AP) radiography of the knee from a single insti...
In this paper, the side effects of drug therapy in the process of cancer treatment are reduced by de...
Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disease characterized by flares ran...
With the worldwide digitalisation of medical records, electronic health records (EHRs) have become a...
Acute, chronic myocarditis as myocardial localized or diffuse inflammation lesions is usually involv...
In medicine, identifying the indirect immunofluorescence of human epithelial type 2 (HEp-2) cells pl...
Robot-assisted anti-reflux surgery (RA-ARS) is increasingly being used to treat refractory gastro-oe...
Superhydrophobic surfaces with the "lotus effect" have wide applications in daily life and industry,...
INTRODUCTION: To date, no anti-reflux operations have been reported with the new da Vinci Single-Por...
The efficient production of solid-dosage oral formulations using eco-friendly supercritical solvents...
PURPOSE OF REVIEW: Machine learning is a computational tool that is increasingly used for the analys...
(Bull.: Fr.) P. Karst. spore powder (IHS) contains polyphenols and triterpenoids with pharmacologic...
Nowadays, supercritical CO(SC-CO) is known as a promising alternative for challengeable organic solv...
In recent years, China's achievements in artificial intelligence (AI) have attracted the attention o...
Machine learning methods trained on cancer cell line panels are intensively studied for the predicti...
The light field (LF) reconstruction is mainly confronted with two challenges, large disparity and th...