AIMC Topic: Young Adult
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Diagnostic performance of an artificial neural network to predict excess body fat in children.
Pediatric obesity
Dec 27, 2018
BACKGROUND: Waist circumference (WC) and z scores of body mass index (BMI) are commonly used to predict childhood obesity, although BMI and WC have a limited sensitivity.
Semiautomatic Three-Dimensional Threshold-Based Cardiac Computed Tomography Ventricular Volumetry in Repaired Tetralogy of Fallot: Comparison with Cardiac Magnetic Resonance Imaging.
Korean journal of radiology
Dec 27, 2018
OBJECTIVE: To assess the accuracy and potential bias of computed tomography (CT) ventricular volumetry using semiautomatic three-dimensional (3D) threshold-based segmentation in repaired tetralogy of Fallot, and to compare them to those of two-dimens...
Total Knee Arthroplasty Is Safe and Successful in Patients With Klippel-Trénaunay Syndrome.
The Journal of arthroplasty
Dec 22, 2018
BACKGROUND: Klippel-Trénaunay syndrome (KTS) is a severe vascular malformation that can lead to hypertrophic osteoarthritis. Total knee arthroplasty (TKA) performed in extremities affected with KTS is challenging given the high-risk vascular consider...
Dry olive leaf extract attenuates DNA damage induced by estradiol and diethylstilbestrol in human peripheral blood cells in vitro.
Mutation research. Genetic toxicology and environmental mutagenesis
Dec 21, 2018
Phenolic groups of steroidal or nonsteroidal estrogens can redox cycle, leading to oxidative stress, where creation of reactive oxygen species are recognized as the main mechanism of their DNA damage properties. Dry olive (Olea europaea L.) leaf extr...
Free Radical Scavengers
Oxidative Stress
Estradiol
Antioxidants
Plant Extracts
Dose-Response Relationship, Drug
Female
Young Adult
Adult
Male
Olea
Blood Cells
Comet Assay
Diethylstilbestrol
Estrogen Antagonists
Reactive Oxygen Species
Plant Leaves
Oxidation-Reduction
DNA Damage
Drug Evaluation, Preclinical
Humans
Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware.
Journal of neural engineering
Dec 21, 2018
OBJECTIVE: The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and...
Retrospective Data Analysis of the Influence of Age and Sex on TPMT Activity and Its Phenotype-Genotype Correlation.
The journal of applied laboratory medicine
Dec 20, 2018
BACKGROUND: Therapeutic efficacy and toxicity of thiopurine drugs (used as anticancer and immunosuppressant agents) are affected by thiopurine S-methyltransferase (TPMT) enzyme activity. genotype and/or phenotype is used to predict the risk for adve...
MRI-compatible pneumatic stimulator for sensorimotor mapping.
Journal of neuroscience methods
Dec 19, 2018
BACKGROUND: Two major concerns with respect to task-based motor functional magnetic resonance imaging (fMRI) are inadequate participants' performance as well as intra- and inter-subject variability in execution of the motor action.
Swall-E: A robotic in-vitro simulation of human swallowing.
PloS one
Dec 19, 2018
Swallowing is a complex physiological function that can be studied through medical imagery techniques such as videofluoroscopy (VFS), dynamic magnetic resonance imagery (MRI) and fiberoptic endoscopic evaluation of swallowing (FEES). VFS is the gold ...
A convolutional neural network Cascade for plantar pressure images registration.
Gait & posture
Dec 18, 2018
BACKGROUND: Plantar pressure image (PPI) recorded in high spatial and temporal resolution is very useful in clinical gait analysis. For functional analysis of PPI, image registration is often performed to maximally correlate source image with a templ...
Combining multimodal imaging and treatment features improves machine learning-based prognostic assessment in patients with glioblastoma multiforme.
Cancer medicine
Dec 18, 2018
BACKGROUND: For Glioblastoma (GBM), various prognostic nomograms have been proposed. This study aims to evaluate machine learning models to predict patients' overall survival (OS) and progression-free survival (PFS) on the basis of clinical, patholog...
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