Latest AI and machine learning research in lupus for healthcare professionals.
. The goal of this work is to experimentally compare the 3D spatial and energy resolution of a semi-...
Mice are the most commonly used model animals for itch research and for development of anti-itch dru...
The navigation of small unmanned aerial vehicles (UAVs), such as quadcopters, significantly relies o...
Structural health monitoring and fault diagnosis are important scientific issues in mechanical engin...
Cannabinoid receptors, as part of the family of the G protein-coupled receptors (GPCRs), are involve...
Neuromorphic machines are intriguing for building energy-efficient intelligent systems, where spikin...
One of the most abundant non-canonical bases widely occurring on various RNA molecules is 5-methylur...
We propose a complete hardware-based architecture of multilayer neural networks (MNNs), including el...
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 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...
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...
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...
In order to predict the anti-gastric cancer effect of [1,2,3]triazolo[4,5-d]pyrimidine derivatives (...