AIMC Topic: Humans

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Deep learning can predict microsatellite instability directly from histology in gastrointestinal cancer.

Nature medicine Jun 3, 2019
Microsatellite instability determines whether patients with gastrointestinal cancer respond exceptionally well to immunotherapy. However, in clinical practice, not every patient is tested for MSI, because this requires additional genetic or immunohis...
Gastrointestinal Neoplasms Deep Learning Immunotherapy Microsatellite Instability Humans
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Artificial intelligence and immunotherapy.

Expert review of clinical immunology Jun 3, 2019
Humans Artificial Intelligence Immunotherapy
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Margin-Based Pareto Ensemble Pruning: An Ensemble Pruning Algorithm That Learns to Search Optimized Ensembles.

Computational intelligence and neuroscience Jun 3, 2019
The ensemble pruning system is an effective machine learning framework that combines several learners as experts to classify a test set. Generally, ensemble pruning systems aim to define a region of competence based on the validation set to select th...
Benchmarking Pattern Recognition, Automated Scientific Experimental Error Algorithms Computer Simulation Humans Machine Learning
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Application of Deep Learning in Neuroradiology: Brain Haemorrhage Classification Using Transfer Learning.

Computational intelligence and neuroscience Jun 3, 2019
In this paper, we address the problem of identifying brain haemorrhage which is considered as a tedious task for radiologists, especially in the early stages of the haemorrhage. The problem is solved using a deep learning approach where a convolution...
Humans Neural Networks, Computer Machine Learning Deep Learning Hemorrhage Support Vector Machine Intracranial Hemorrhages Radiologists
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Predicting cochlear dead regions in patients with hearing loss through a machine learning-based approach: A preliminary study.

PloS one Jun 3, 2019
We propose a machine learning (ML)-based model for predicting cochlear dead regions (DRs) in patients with hearing loss of various etiologies. Five hundred and fifty-five ears from 380 patients (3,770 test samples) diagnosed with sensorineural hearin...
Multivariate Analysis Hearing Loss Auditory Threshold Cochlea Middle Aged Logistic Models Noise Adult Male Machine Learning Algorithms Female Humans Aged Aged, 80 and over Young Adult
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A Machine Learning Approach for the Discovery of Ligand-Specific Functional Mechanisms of GPCRs.

Molecules (Basel, Switzerland) Jun 2, 2019
G protein-coupled receptors (GPCRs) play a key role in many cellular signaling mechanisms, and must select among multiple coupling possibilities in a ligand-specific manner in order to carry out a myriad of functions in diverse cellular contexts. Muc...
Receptors, G-Protein-Coupled Humans Molecular Dynamics Simulation Machine Learning Ligands Algorithms Drug Discovery Molecular Docking Simulation Protein Binding Drug Design Receptor, Serotonin, 5-HT2A Quantitative Structure-Activity Relationship Binding Sites
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Arrangements of Resting State Electroencephalography as the Input to Convolutional Neural Network for Biometric Identification.

Computational intelligence and neuroscience Jun 2, 2019
Biometric is an important field that enables identification of an individual to access their sensitive information and asset. In recent years, electroencephalography- (EEG-) based biometrics have been popularly explored by researchers because EEG is ...
Signal Processing, Computer-Assisted Brain-Computer Interfaces Machine Learning Biometric Identification Algorithms Humans Electroencephalography Neural Networks, Computer
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Convolutional Neural Networks for Recognition of Lymphoblast Cell Images.

Computational intelligence and neuroscience Jun 2, 2019
This paper presents the recognition for WHO classification of acute lymphoblastic leukaemia (ALL) subtypes. The two ALL subtypes considered are T-lymphoblastic leukaemia (pre-T) and B-lymphoblastic leukaemia (pre-B). They exhibit various characterist...
Osteochondrodysplasias Recognition, Psychology Fetal Growth Retardation Urogenital Abnormalities Lymphocytes Algorithms Nerve Net Support Vector Machine Humans Adrenal Insufficiency Neural Networks, Computer Machine Learning
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Update on the Urology Tag Ontology: Standardized Hashtags for Social Media in Urology.

European urology Jun 1, 2019
Social Media Biological Ontologies Terminology as Topic Humans Urology
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Decoding electroencephalographic signals for direction in brain-computer interface using echo state network and Gaussian readouts.

Computers in biology and medicine Jun 1, 2019
BACKGROUND: Noninvasive brain-computer interfaces (BCI) for movement control via an electroencephalogram (EEG) have been extensively investigated. However, most previous studies decoded user intention for movement directions based on sensorimotor rhy...
Adult Male Models, Neurological Machine Learning Brain Electroencephalography Brain-Computer Interfaces Humans
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