AIMC Topic: Humans

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Deep Learning to Therapeutically Target Unreported Complexes.

Trends in pharmacological sciences May 21, 2019
The disruption of large protein-protein (PP) interfaces remains a challenge in targeted therapy. Designing drugs that compete with binding partners is daunting, especially when the structure of the protein complex is unknown. To address the problem w...
Proteins Drug Discovery Humans Molecular Targeted Therapy Databases, Factual Deep Learning Protein Interaction Maps
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Effective Dimensionality Reduction for Visualizing Neural Dynamics by Laplacian Eigenmaps.

Neural computation May 21, 2019
With the development of neural recording technology, it has become possible to collect activities from hundreds or even thousands of neurons simultaneously. Visualization of neural population dynamics can help neuroscientists analyze large-scale neur...
Humans Pattern Recognition, Automated Artificial Intelligence Nerve Net Algorithms Computers
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A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures.

Neural computation May 21, 2019
Recurrent neural networks (RNNs) have been widely adopted in research areas concerned with sequential data, such as text, audio, and video. However, RNNs consisting of sigma cells or tanh cells are unable to learn the relevant information of input da...
Neural Networks, Computer Data Analysis Algorithms Humans
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A Reservoir Computing Model of Reward-Modulated Motor Learning and Automaticity.

Neural computation May 21, 2019
Reservoir computing is a biologically inspired class of learning algorithms in which the intrinsic dynamics of a recurrent neural network are mined to produce target time series. Most existing reservoir computing algorithms rely on fully supervised l...
Reinforcement, Psychology Reward Neuronal Plasticity Humans Models, Neurological Nerve Net Neural Networks, Computer Neurons Computer Simulation
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A Computational Perspective of the Role of the Thalamus in Cognition.

Neural computation May 21, 2019
The thalamus has traditionally been considered as only a relay source of cortical inputs, with hierarchically organized cortical circuits serially transforming thalamic signals to cognitively relevant representations. Given the absence of local excit...
Cognition Cerebral Cortex Neural Pathways Thalamus Humans Artificial Intelligence
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How Knowledge Emerges From Artificial Intelligence Algorithm and Data Visualization for Diabetes Management.

Journal of diabetes science and technology May 21, 2019
BACKGROUND: Self-monitoring blood glucose (SMBG) is facilitated by application available to analyze these data. They are mainly based on descriptive statistical analyses. In this study, we are proposing a method inspired by artificial intelligence al...
Blood Glucose Self-Monitoring Data Visualization Humans Algorithms Machine Learning Blood Glucose Diabetes Mellitus
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Using Artificial Intelligence to Revise ACR TI-RADS Risk Stratification of Thyroid Nodules: Diagnostic Accuracy and Utility.

Radiology May 21, 2019
Background Risk stratification systems for thyroid nodules are often complicated and affected by low specificity. Continual improvement of these systems is necessary to reduce the number of unnecessary thyroid biopsies. Purpose To use artificial inte...
Image Interpretation, Computer-Assisted Radiology Information Systems Societies, Medical Risk Assessment Adolescent Thyroid Gland Thyroid Nodule United States Diagnostic Imaging Artificial Intelligence Sensitivity and Specificity Young Adult Retrospective Studies Male Adult Female Middle Aged Reproducibility of Results Humans Aged Aged, 80 and over
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Learning-based automatic segmentation of arteriovenous malformations on contrast CT images in brain stereotactic radiosurgery.

Medical physics May 21, 2019
PURPOSE: Stereotactic radiosurgery (SRS) is widely used to obliterate arteriovenous malformations (AVMs). Its performance relies on the accuracy of delineating the target AVM. Manual segmentation during a framed SRS procedure is time consuming and su...
Arteriovenous Malformations Contrast Media Automation Radiosurgery Humans Brain Machine Learning Tomography, X-Ray Computed Image Processing, Computer-Assisted
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Automated detection of sudden unexpected death in epilepsy risk factors in electronic medical records using natural language processing.

Epilepsia May 21, 2019
OBJECTIVE: Sudden unexpected death in epilepsy (SUDEP) is an important cause of mortality in epilepsy. However, there is a gap in how often providers counsel patients about SUDEP. One potential solution is to electronically prompt clinicians to provi...
Humans Algorithms Retrospective Studies Cross-Sectional Studies Natural Language Processing Data Interpretation, Statistical Electronic Health Records Risk Factors Sensitivity and Specificity Sudden Unexpected Death in Epilepsy Drug Resistant Epilepsy Death, Sudden Epilepsy, Tonic-Clonic Epilepsy Neurosurgery
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Screening of disorders associated with osteosarcoma by integrated network analysis.

Bioscience reports May 21, 2019
Osteosarcoma is a common malignant bone tumor in children and adolescents under the age of 20. However, research on the pathogenesis and treatment of osteosarcoma is still insufficient. In the present study, based on gene-phenotype correlation networ...
Humans Gene Expression Profiling Bone Neoplasms Neoplasm Proteins Gene Ontology Gene Regulatory Networks Gene Expression Regulation, Neoplastic Osteosarcoma
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