AIMC Topic: Central Nervous System

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Artificial intelligence in central-peripheral interaction organ crosstalk: the future of drug discovery and clinical trials.

Pharmacological research Apr 10, 2025
Drug discovery before the 20th century often focused on single genes, molecules, cells, or organs, failing to capture the complexity of biological systems. The emergence of protein-protein interaction network studies in 2001 marked a turning point an...
Humans Drug Discovery Clinical Trials as Topic Central Nervous System Artificial Intelligence Animals
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Unveiling CNS cell morphology with deep learning: A gateway to anti-inflammatory compound screening.

PloS one Mar 21, 2025
Deciphering the complex relationships between cellular morphology and phenotypic manifestations is crucial for understanding cell behavior, particularly in the context of neuropathological states. Despite its importance, the application of advanced i...
Neurons Central Nervous System Anti-Inflammatory Agents Drug Evaluation, Preclinical Deep Learning Image Processing, Computer-Assisted Neuroinflammatory Diseases Microglia Mice Humans Animals
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During haptic communication, the central nervous system compensates distinctly for delay and noise.

PLoS computational biology Nov 6, 2024
Physically connected humans have been shown to exploit the exchange of haptic forces and tactile information to improve their performance in joint action tasks. As human interactions are increasingly mediated through robots and networks it is importa...
Female Young Adult Adult Humans Computer Simulation Computational Biology Models, Neurological Robotics Communication Male Central Nervous System Touch Perception Touch
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Integrating large-scale single-cell RNA sequencing in central nervous system disease using self-supervised contrastive learning.

Communications biology Sep 10, 2024
The central nervous system (CNS) comprises a diverse range of brain cell types with distinct functions and gene expression profiles. Although single-cell RNA sequencing (scRNA-seq) provides new insights into the brain cell atlases, integrating large-...
Humans Supervised Machine Learning Datasets as Topic Atlases as Topic Central Nervous System Single-Cell Gene Expression Analysis Animals Cluster Analysis Deep Learning Neurodegenerative Diseases
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Identification of Immune-Related Biomarkers of Schizophrenia in the Central Nervous System Using Bioinformatic Methods and Machine Learning Algorithms.

Molecular neurobiology Sep 7, 2024
Schizophrenia is a disastrous mental disorder. Identification of diagnostic biomarkers and therapeutic targets is of significant importance. In this study, five datasets of schizophrenia post-mortem prefrontal cortex samples were downloaded from the ...
Humans Gene Regulatory Networks Computational Biology Biomarkers Machine Learning Animals Algorithms Rats Schizophrenia Gene Expression Profiling Central Nervous System
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Inference of network connectivity from temporally binned spike trains.

Journal of neuroscience methods Feb 2, 2024
BACKGROUND: Processing neural activity to reconstruct network connectivity is a central focus of neuroscience, yet the spatiotemporal requisites of biological nervous systems are challenging for current neuronal sensing modalities. Consequently, meth...
Models, Neurological Action Potentials Central Nervous System Neurons Neural Networks, Computer
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Neuroimaging Scoring Tools to Differentiate Inflammatory Central Nervous System Small-Vessel Vasculitis: A Need for Artificial Intelligence/Machine Learning?-A Scoping Review.

Tomography (Ann Arbor, Mich.) Oct 2, 2023
Neuroimaging has a key role in identifying small-vessel vasculitis from common diseases it mimics, such as multiple sclerosis. Oftentimes, a multitude of these conditions present similarly, and thus diagnosis is difficult. To date, there is no standa...
Central Nervous System Humans Vasculitis Artificial Intelligence Machine Learning Neuroimaging
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Deep learning-based overall survival prediction model in patients with rare cancer: a case study for primary central nervous system lymphoma.

International journal of computer assisted radiology and surgery Apr 21, 2023
PURPOSE: Primary central nervous system lymphoma (PCNSL) is a rare, aggressive form of extranodal non-Hodgkin lymphoma. To predict the overall survival (OS) in advance is of utmost importance as it has the potential to aid clinical decision-making. T...
Central Nervous System Central Nervous System Neoplasms Humans Deep Learning Brain Neoplasms Retrospective Studies Lymphoma
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A comprehensive dataset of annotated brain metastasis MR images with clinical and radiomic data.

Scientific data Apr 14, 2023
Brain metastasis (BM) is one of the main complications of many cancers, and the most frequent malignancy of the central nervous system. Imaging studies of BMs are routinely used for diagnosis of disease, treatment planning and follow-up. Artificial I...
Humans Artificial Intelligence Prognosis Central Nervous System Brain Neoplasms Magnetic Resonance Imaging
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Neurorobotics and neuroprostheses: Towards a new anatomy.

Anatomical record (Hoboken, N.J. : 2007) Jan 30, 2023
The idea of this Special Issue arose from the technological advances in bionic, robotic, and neural rehabilitation systems and the common need to comprehend in detail how human anatomical structures can be replicated or controlled. Motor control theo...
Central Nervous System Movement Humans Neural Prostheses Robotics
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