Latest AI and machine learning research in psoriasis for healthcare professionals.
The aim was to evaluate the role of klotho in the pathogenesis of systemic sclerosis (SSc), through ...
Recurrent neural network (RNN) and Long Short-term Memory (LSTM) networks are the common go-to archi...
Identification of the original groundwater types present in geochemical mixtures observed in an aqui...
The purpose of this study was to determine the physical compatibility of micafungin with commonly u...
Contrary to forward biomechanical functions, which are deterministic, inverse biomechanical function...
Radiomics describes a broad set of computational methods that extract quantitative features from rad...
Epidemiological studies often utilize stratified data in which rare outcomes or exposures are artifi...
BACKGROUND: Snake-like robot is an emerging form of serial-link manipulator with the morphologic des...
In this work a design for self-tuning non-linear Fuzzy Proportional Integral Derivative (FPID) contr...
Hysteresis exists in magnetic shape memory alloy (MSMA) actuators, which restricts MSMA actuators' a...
Anti-protamine (PRT)/heparin antibodies are a newly described class of heparin-dependent antibodies ...
The risk of hepatitis B virus (HBV) reactivation (HBVr) in chronic HBV carriers, in occult HBV patie...
INTRODUCTION: Recently, immunosuppressant-associated malignant lymphoma (ML) cases have been increas...
In this paper a waist rehabilitation robot driven by cables and pneumatic artificial muscles (PAMs) ...
. To evaluate the efficacy of intravitreal methotrexate (MTX) compared to retrobulbar triamcinolone ...
MicroRNAs are a class of small non-coding regulatory RNA molecules that modulate the expression of s...
Five reference populations in bone marrow specimens were identified by flow cytometry using specific...
Genomic aberrations and gene expression-defined subtypes in the large METABRIC patient cohort have b...
This paper presents a novel inverse kinematics solution for robotic arm based on artificial neural n...
Efficiency, memory consumption, and robustness are common problems with many popular methods for dat...
Two complex Zhang neural network (ZNN) models for computing the Drazin inverse of arbitrary time-var...