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Antioxidants from diet or supplements do not alter inflammatory markers in adults with cardiovascular disease risk. A pilot randomized controlled trial.

Nutrition research (New York, N.Y.)
Antioxidants have been reported to have anti-inflammatory effects, but there is a lack of research comparing food to supplement antioxidant sources. The aim of this study was to determine if increases in intake of foods naturally rich in antioxidants...

The diagnostic value of hepcidin to predict the presence and severity of appendicitis in children.

The Journal of surgical research
BACKGROUND: The aim of this study was to determine the diagnostic capacity of hepcidin in pediatric acute appendicitis and its accuracy as a predictor of the severity of appendicitis.
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A hybrid classifier based on nonlinear-PCA and deep belief networks with applications in dysphagia diagnosis.

Computer assisted surgery (Abingdon, England)
Traditional dysphagia prescreening diagnostic methods require doctors specialists to give patients a total score based on a water swallow test scale. This method is limited by the high dimensionality of the diagnostic elements in the water swallow te...

MIAQuant, a novel system for automatic segmentation, measurement, and localization comparison of different biomarkers from serialized histological slices.

European journal of histochemistry : EJH
In the clinical practice, automatic image analysis methods quickly quantizing histological results by objective and replicable methods are getting more and more necessary and widespread. Despite several commercial software products are available for ...

Hand Rehabilitation Robotics on Poststroke Motor Recovery.

Behavioural neurology
The recovery of hand function is one of the most challenging topics in stroke rehabilitation. Although the robot-assisted therapy has got some good results in the latest decades, the development of hand rehabilitation robotics is left behind. Existin...

Multi-categorical deep learning neural network to classify retinal images: A pilot study employing small database.

PloS one
Deep learning emerges as a powerful tool for analyzing medical images. Retinal disease detection by using computer-aided diagnosis from fundus image has emerged as a new method. We applied deep learning convolutional neural network by using MatConvNe...

Improving individual predictions: Machine learning approaches for detecting and attacking heterogeneity in schizophrenia (and other psychiatric diseases).

Schizophrenia research
Psychiatric diseases are very heterogeneous both in clinical manifestation and etiology. With the recent rise of using machine learning techniques to attempt to diagnose and prognose these disorders, the issue of heterogeneity becomes increasingly im...

Educational effects using a robot patient simulation system for development of clinical attitude.

European journal of dental education : official journal of the Association for Dental Education in Europe
INTRODUCTION: The aim of this study was to assess the effectiveness of improving the attitude of dental students towards the use of a full-body patient simulation system (SIMROID) compared to the traditional mannequin (CLINSIM) for dental clinical ed...

Personality biomarkers of pathological gambling: A machine learning study.

Journal of neuroscience methods
BACKGROUND: The application of artificial intelligence to extract predictors of Gambling disorder (GD) is a new field of study. A plethora of studies have suggested that maladaptive personality dispositions may serve as risk factors for GD.