AIMC Topic: Humans
Showing 65791 to 65800 of 95995 articles
Outcome prediction with serial neuron-specific enolase and machine learning in anoxic-ischaemic disorders of consciousness.
Computers in biology and medicine
Feb 16, 2019
BACKGROUND: The continuation of life-sustaining therapy in critical care patients with anoxic-ischemic disorders of consciousness (AI-DOC) depends on prognostic tests such as serum neuron-specific enolase (NSE) concentration levels.
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A coarse-graining framework for spiking neuronal networks: from strongly-coupled conductance-based integrate-and-fire neurons to augmented systems of ODEs.
Journal of computational neuroscience
Feb 16, 2019
Homogeneously structured, fluctuation-driven networks of spiking neurons can exhibit a wide variety of dynamical behaviors, ranging from homogeneity to synchrony. We extend our partitioned-ensemble average (PEA) formalism proposed in Zhang et al. (Jo...
Joint reconstruction and classification of tumor cells and cell interactions in melanoma tissue sections with synthesized training data.
International journal of computer assisted radiology and surgery
Feb 16, 2019
PURPOSE: Cancers are almost always diagnosed by morphologic features in tissue sections. In this context, machine learning tools provide new opportunities to describe tumor immune cell interactions within the tumor microenvironment and thus provide p...
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Contact Modelling and Tactile Data Processing for Robot Skins.
Sensors (Basel, Switzerland)
Feb 16, 2019
Tactile sensing is a key enabling technology to develop complex behaviours for robots interacting with humans or the environment. This paper discusses computational aspects playing a significant role when extracting information about contact events. ...
Guiding Neuroevolution with Structural Objectives.
Evolutionary computation
Feb 15, 2019
The structure and performance of neural networks are intimately connected, and by use of evolutionary algorithms, neural network structures optimally adapted to a given task can be explored. Guiding such neuroevolution with additional objectives rela...
Deep neural networks in psychiatry.
Molecular psychiatry
Feb 15, 2019
Machine and deep learning methods, today's core of artificial intelligence, have been applied with increasing success and impact in many commercial and research settings. They are powerful tools for large scale data analysis, prediction and classific...
Artificial intelligence in neuropathology: deep learning-based assessment of tauopathy.
Laboratory investigation; a journal of technical methods and pathology
Feb 15, 2019
Accumulation of abnormal tau in neurofibrillary tangles (NFT) occurs in Alzheimer disease (AD) and a spectrum of tauopathies. These tauopathies have diverse and overlapping morphological phenotypes that obscure classification and quantitative assessm...
The Early Psychosis Screener for Internet (EPSI)-SR: Predicting 12 month psychotic conversion using machine learning.
Schizophrenia research
Feb 15, 2019
INTRODUCTION: A faster and more accurate self-report screener for early psychosis is needed to promote early identification and intervention.
Design and Implementation of a Novel Subject-Specific Neurofeedback Evaluation and Treatment System.
Annals of biomedical engineering
Feb 15, 2019
Electroencephalography (EEG)-based neurofeedback (NF) is a safe, non-invasive, non-painful method for treating various conditions. Current NF systems enable the selection of only one NF parameter, so that two parameters cannot be feedback simultaneou...
Pilot Testing a Robot for Reducing Pain in Hospitalized Preterm Infants.
OTJR : occupation, participation and health
Feb 15, 2019
Optimizing neurodevelopment is a key goal of neonatal occupational therapy. In preterm infants, repeated procedural pain is associated with adverse effects on neurodevelopment long term. Calmer is a robot designed to reduce infant pain. The objective...
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