AIMC Topic: Central Nervous System

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Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.

Molecular diversity Jul 11, 2022
CNS disorders are indications with a very high unmet medical needs, relatively smaller number of available drugs, and a subpar satisfaction level among patients and caregiver. Discovery of CNS drugs is extremely expensive affair with its own unique c...
Ligands Central Nervous System Artificial Intelligence Machine Learning Proteomics Humans
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Deep Learning for Automatic Differential Diagnosis of Primary Central Nervous System Lymphoma and Glioblastoma: Multi-Parametric Magnetic Resonance Imaging Based Convolutional Neural Network Model.

Journal of magnetic resonance imaging : JMRI Mar 11, 2021
BACKGROUND: Differential diagnosis of primary central nervous system lymphoma (PCNSL) and glioblastoma (GBM) is useful to guide treatment strategies.
Central Nervous System Diagnosis, Differential Glioblastoma Female Male Middle Aged Deep Learning Lymphoma Magnetic Resonance Imaging Humans Neural Networks, Computer Retrospective Studies
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Editorial for: "Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning".

Journal of magnetic resonance imaging : JMRI Aug 7, 2020
Central Nervous System Multiparametric Magnetic Resonance Imaging Humans Deep Learning Image Processing, Computer-Assisted Lymphoma
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Primary Central Nervous System Lymphoma: Clinical Evaluation of Automated Segmentation on Multiparametric MRI Using Deep Learning.

Journal of magnetic resonance imaging : JMRI Jul 13, 2020
BACKGROUND: Precise volumetric assessment of brain tumors is relevant for treatment planning and monitoring. However, manual segmentations are time-consuming and impeded by intra- and interrater variabilities.
Central Nervous System Multiparametric Magnetic Resonance Imaging Retrospective Studies Humans Deep Learning Magnetic Resonance Imaging
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Essential oil of Citrus lumia Risso: Phytochemical profile, antioxidant properties and activity on the central nervous system.

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association Dec 28, 2017
The use of essential oils (EOs) is known since long time in traditional medicine and aromatherapy for the management of various oxidative stress-related disorders and has been further increased recently for their neuroprotective and anti-aging potent...
Citrus Cell-Free System Terpenes Central Nervous System Neuroprotective Agents Mice Cyclohexenes Cholinesterase Inhibitors Limonene Animals Cell Line Antioxidants Monoterpenes Acyclic Monoterpenes Oils, Volatile Gas Chromatography-Mass Spectrometry Rats, Wistar Microscopy, Electron, Scanning
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Modeling the control of the central nervous system over the cardiovascular system using support vector machines.

Computers in biology and medicine Dec 15, 2017
The control of the central nervous system (CNS) over the cardiovascular system (CS) has been modeled using different techniques, such as fuzzy inductive reasoning, genetic fuzzy systems, neural networks, and nonlinear autoregressive techniques; the r...
Support Vector Machine Models, Neurological Central Nervous System Cardiovascular System Models, Cardiovascular Humans
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Associative memory realized by a reconfigurable memristive Hopfield neural network.

Nature communications Jun 25, 2015
Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great challenge. In this work, we demonstrate the associative memory on the basis of a memristive Hopfield...
Algorithms Computer Simulation Animals Neural Networks, Computer Memory Pattern Recognition, Automated Association Learning Central Nervous System
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Code-free machine learning for classification of central nervous system histopathology images.

Journal of neuropathology and experimental neurology Feb 21, 2023
Machine learning (ML), an application of artificial intelligence, is currently transforming the analysis of biomedical data and specifically of biomedical images including histopathology. The promises of this technology contrast, however, with its cu...
Humans Mutation Central Nervous System Isocitrate Dehydrogenase Artificial Intelligence Machine Learning Brain Neoplasms
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Bioinformatics and machine learning methodologies to identify the effects of central nervous system disorders on glioblastoma progression.

Briefings in bioinformatics Sep 2, 2021
Glioblastoma (GBM) is a common malignant brain tumor which often presents as a comorbidity with central nervous system (CNS) disorders. Both CNS disorders and GBM cells release glutamate and show an abnormality, but differ in cellular behavior. So, t...
Humans Machine Learning Computational Biology Gene Expression Regulation, Neoplastic Signal Transduction Brain Neoplasms Gene Expression Profiling Gene Regulatory Networks Kaplan-Meier Estimate Molecular Sequence Annotation Gene Ontology Atlases as Topic Glutamic Acid Datasets as Topic Central Nervous System Proportional Hazards Models Neoplasm Proteins Glioblastoma
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[Pay attention to the research of artificial intelligence in central nervous system imaging].

Zhonghua yi xue za zhi Jan 21, 2020
Artificial Intelligence Attention Central Nervous System
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