Humans

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Classifying dynamic transitions in high dimensional neural mass models: A random forest approach.

PLoS computational biology Mar 2, 2018
Neural mass models (NMMs) are increasingly used to uncover the large-scale mechanisms of brain rhythms in health and disease. The dynamics of these models is dependent upon the choice of parameters, and therefore it is crucial to be able to understan...
Humans Neural Networks, Computer Brain Neurons Computer Simulation Computational Biology Models, Neurological
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Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery.

Cell chemical biology Mar 1, 2018
In both academia and the pharmaceutical industry, large-scale assays for drug discovery are expensive and often impractical, particularly for the increasingly important physiologically relevant model systems that require primary cells, organoids, who...
Drug Repositioning High-Throughput Screening Assays Machine Learning Neoplasms Antineoplastic Agents Cell Line, Tumor Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Prediction of Overall Survival and Novel Classification of Patients with Gastric Cancer Using the Survival Recurrent Network.

Annals of surgical oncology Mar 1, 2018
BACKGROUND: Artificial neural networks (ANNs) have been applied to many prediction and classification problems, and could also be used to develop a prediction model of survival outcomes for cancer patients.
Male Middle Aged ROC Curve Stomach Neoplasms Survival Rate Gastrectomy Kaplan-Meier Estimate Chemotherapy, Adjuvant Area Under Curve Neoplasm Staging Models, Biological Humans Forecasting Neural Networks, Computer Female Aged
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Deep learning with convolutional neural network in radiology.

Japanese journal of radiology Mar 1, 2018
Deep learning with a convolutional neural network (CNN) is gaining attention recently for its high performance in image recognition. Images themselves can be utilized in a learning process with this technique, and feature extraction in advance of the...
Humans Neural Networks, Computer Pattern Recognition, Automated Image Processing, Computer-Assisted Diagnostic Imaging Radiology Machine Learning Software
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Using Machine Learning to Improve the Prediction of Functional Outcome in Ischemic Stroke Patients.

IEEE/ACM transactions on computational biology and bioinformatics Mar 1, 2018
Ischemic stroke is a leading cause of disability and death worldwide among adults. The individual prognosis after stroke is extremely dependent on treatment decisions physicians take during the acute phase. In the last five years, several scores such...
Brain Ischemia Treatment Outcome Area Under Curve Humans Machine Learning Algorithms Diagnosis, Computer-Assisted
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Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome.

IEEE journal of biomedical and health informatics Feb 28, 2018
When training a machine learning algorithm for a supervised-learning task in some clinical applications, uncertainty in the correct labels of some patients may adversely affect the performance of the algorithm. For example, even clinical experts may ...
Diagnosis, Computer-Assisted Humans Support Vector Machine Machine Learning Respiratory Distress Syndrome
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Segmentation of Intra-Retinal Cysts From Optical Coherence Tomography Images Using a Fully Convolutional Neural Network Model.

IEEE journal of biomedical and health informatics Feb 28, 2018
Optical coherence tomography (OCT) is an imaging modality that is used extensively for ophthalmic diagnosis, near-histological visualization, and quantification of retinal abnormalities such as cysts, exudates, retinal layer disorganization, etc. Int...
Humans Retinal Diseases Neural Networks, Computer Tomography, Optical Coherence Macular Edema Cysts Image Interpretation, Computer-Assisted Retina
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Knowledge-based diagnosis and prediction using big data and deep learning in precision medicine.

Investigative and clinical urology Feb 28, 2018
Inventions Biomedical Technology Human Genome Project Precision Medicine Humans Deep Learning Artificial Intelligence Big Data
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A Functional Signature Ontology (FUSION) screen detects an AMPK inhibitor with selective toxicity toward human colon tumor cells.

Scientific reports Feb 28, 2018
AMPK is a serine threonine kinase composed of a heterotrimer of a catalytic, kinase-containing α and regulatory β and γ subunits. Here we show that individual AMPK subunit expression and requirement for survival varies across colon cancer cell lines....
AMP-Activated Protein Kinases Colonic Neoplasms Biological Ontologies Protein Kinase Inhibitors Biological Products Humans Cell Survival Cell Line, Tumor Drug Screening Assays, Antitumor
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A symbolic network-based nonlinear theory for dynamical systems observability.

Scientific reports Feb 28, 2018
When the state of the whole reaction network can be inferred by just measuring the dynamics of a limited set of nodes the system is said to be fully observable. However, as the number of all possible combinations of measured variables and time deriva...
Humans Systems Theory DNA Replication Models, Theoretical Nonlinear Dynamics Observation Neural Networks, Computer Algorithms
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