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Latest: Psychiatryai.com #RAISR4D Evidence
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Cool Evidence: Engaging Young People and Students in Real-World Evidence
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Real-Time Evidence Search [Psychiatry]
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AI Research
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Graphsite: ligand-binding site classification using deep graph neural network
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🌐 90 Days
AI Virtual Reality Related Evidence Matrix
NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network Graph Node Classification to Predict Autism Risk in Genes Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN) Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network Evolutionary trajectory of TRPM2 channel activation by adenosine diphosphate ribose and calcium Using dynamic spatio-temporal graph pooling network for identifying autism spectrum disorders in spontaneous functional infrared spectral sequence signals BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features Inference of gene regulatory networks based on directed graph convolutional networks Protein Engineering with Lightweight Graph Denoising Neural Networks A bupropion modulatory site in Gloeobacter violaceus ligand-gated ion channel A new paradigm for applying deep learning to protein-ligand interaction prediction Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Classification and Lateralization Analysis Histological tissue classification with a novel statistical filter-based convolutional neural network Histological tissue classification with a novel statistical filter-based convolutional neural network Contrastive Graph Pooling for Explainable Classification of Brain Networks Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis Super-resolution of diffusion-weighted images using space-customized learning model Graph Artificial Intelligence in Medicine Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads Deep learning for structure based drug discovery An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal Similar Binding Modes of cGMP Analogues Limit Selectivity in Modulating Retinal CNG Channels via the Cyclic Nucleotide-Binding Domain The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning Residual-Based Multi-Stage Deep Learning Framework for Computer-Aided Alzheimer's Disease Detection An ingenious deep learning approach for pressure injury depth evaluation with limited data Self-supervised learning of accelerometer data provides new insights for sleep and its association with mortality A Survey on 3D Skeleton-Based Action Recognition Using Learning Method Boxing behavior recognition based on artificial intelligence convolutional neural network with sports psychology assistant Automatic brain-tumor diagnosis using cascaded deep convolutional neural networks with symmetric U-Net and asymmetric residual-blocks Dense Sample Deep Learning Dense Sample Deep Learning Effects of local reduction of endogenous α-synuclein using antisense oligonucleotides on the fibril-induced propagation of pathology through the neural network in wild-type mice MGCNSS: miRNA-disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy Treatment of flexibility of protein backbone in simulations of protein-ligand interactions using steered molecular dynamics Kainate receptor channel opening and gating mechanism An Artificial Intelligence Driven Approach for Classification of Ophthalmic Images using Convolutional Neural Network: An Experimental Study Deep Learning and Multimodal Artificial Intelligence in Orthopaedic Surgery A confounder controlled machine learning approach: Group analysis and classification of schizophrenia and Alzheimer's disease using resting-state functional network connectivity Artificial Intelligence-Based Non-invasive Differentiation of Distinct Histologic Subtypes of Renal Tumors With Multiphasic Multidetector Computed Tomography Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis Robust and replicable functional brain signatures of 22q11.2 deletion syndrome and associated psychosis: a deep neural network-based multi-cohort study 1,4-Pyrazolyl-containing SAFit-analogues are selective FKBP51 inhibitors with improved ligand efficiency and drug-like profile 1,4-Pyrazolyl-containing SAFit-analogues are selective FKBP51 inhibitors with improved ligand efficiency and drug-like profile Enhanced patient-based real-time quality control using the graph-based anomaly detection Triple Generative Self-Supervised Learning Method for Molecular Property Prediction Allosteric modulation of serotonin and dopamine transporters: New insights from computations and experiments Allosteric modulation of serotonin and dopamine transporters: New insights from computations and experiments Allosteric modulation of serotonin and dopamine transporters: New insights from computations and experiments
Evidence Blueprint
Graphsite: ligand-binding site classification using deep graph neural network
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☊ AI-Driven Related Evidence Nodes
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Graphsite: ligand-binding site classification using deep graph neural network
🌐 365 Days
AI Virtual Reality Related Evidence Matrix
A heterogeneous graph convolutional attention network method for classification of autism spectrum disorder NAGNN: Classification of COVID-19 based on neighboring aware representation from deep graph neural network Graph Node Classification to Predict Autism Risk in Genes Connectome-based schizophrenia prediction using structural connectivity - Deep Graph Neural Network(sc-DGNN) Automated diagnosis of schizophrenia based on spatial-temporal residual graph convolutional network Evolutionary trajectory of TRPM2 channel activation by adenosine diphosphate ribose and calcium Using dynamic spatio-temporal graph pooling network for identifying autism spectrum disorders in spontaneous functional infrared spectral sequence signals Determination of the Cannabinoid CB1 Receptor's Positive Allosteric Modulator Binding Site through Mutagenesis Studies BrainDAS: Structure-aware domain adaptation network for multi-site brain network analysis NF-GAT: A Node Feature-Based Graph Attention Network for ASD Classification Mood Disorder Severity and Subtype Classification Using Multimodal Deep Neural Network Models Regional-asymmetric Adaptive Graph Convolutional Neural Network for Diagnosis of Autism in Children with Resting-state EEG Interpretation of deep non-linear factorization for autism The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification The Use of Generative Adversarial Network and Graph Convolution Network for Neuroimaging-Based Diagnostic Classification Exploring Schizophrenia Classification Through Multimodal MRI and Deep Graph Neural Networks: Unveiling Brain Region-Specific Weight Discrepancies and Their Association With Cell-Type Specific Transcriptomic Features Inference of gene regulatory networks based on directed graph convolutional networks Ligand selectivity hotspots in serotonin GPCRs Protein Engineering with Lightweight Graph Denoising Neural Networks A bupropion modulatory site in Gloeobacter violaceus ligand-gated ion channel A new paradigm for applying deep learning to protein-ligand interaction prediction Selection of convolutional neural network model for bladder tumor classification of cystoscopy images and comparison with humans Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Classification and Lateralization Analysis Linear Classification of Neural Manifolds with Correlated Variability Histological tissue classification with a novel statistical filter-based convolutional neural network Histological tissue classification with a novel statistical filter-based convolutional neural network Contrastive Graph Pooling for Explainable Classification of Brain Networks Time-Dependent Deep Learning Prediction of Multiple Sclerosis Disability Multi-Scale Dynamic Graph Learning for Brain Disorder Detection with Functional MRI The Dynamical Biomarkers in Functional Connectivity of Autism Spectrum Disorder Based on Dynamic Graph Embedding Multi feature fusion network for schizophrenia classification and abnormal brain network recognition A 3D convolutional neural network to classify subjects as Alzheimer's disease, frontotemporal dementia or healthy controls using brain 18F-FDG PET Ordinal Pattern Tree: A New Representation Method for Brain Network Analysis A Comparative Analysis of Deep Learning-Based Approaches for Classifying Dental Implants Decision Support System Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Spatial and geometric learning for classification of breast tumors from multi-center ultrasound images: a hybrid learning approach Graph Fusion prediction of autism based on attentional mechanisms fNIRS-based graph frequency analysis to identify mild cognitive impairment in Parkinson's disease Fusing modalities by multiplexed graph neural networks for outcome prediction from medical data and beyond ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease A Comprehensive Review on Deep Learning Techniques in Alzheimer's Disease Diagnosis Super-resolution of diffusion-weighted images using space-customized learning model Graph Artificial Intelligence in Medicine Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification Dynamic graph transformer network via dual-view connectivity for autism spectrum disorder identification Assisting schizophrenia diagnosis using clinical electroencephalography and interpretable graph neural networks: a real-world and cross-site study Classification of Caries Based on CBCT: A Deep Learning Network Interpretability Study Graph analysis uncovers an opposing impact of methylphenidate on connectivity patterns within default mode network sub-divisions Arrhythmia detection by the graph convolution network and a proposed structure for communication between cardiac leads Deep causality variational autoencoder network for identifying the potential biomarkers of brain disorders Deep learning for structure based drug discovery Multiview hyperedge-aware hypergraph embedding learning for multisite, multiatlas fMRI based functional connectivity network analysis An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model The Nicotinic Acetylcholine Receptor and its Pentameric Homologs: Toward an Allosteric Mechanism of Signal Transduction at the Atomic Level COVID-19 Hierarchical Classification Using a Deep Learning Multi-Modal Similar Binding Modes of cGMP Analogues Limit Selectivity in Modulating Retinal CNG Channels via the Cyclic Nucleotide-Binding Domain Graph Neural Network on Psychological Prediction of College Students Special Education An Optimized Deep Learning Model for Predicting Mild Cognitive Impairment Using Structural MRI The Classification of Lumbar Spondylolisthesis X-Ray Images Using Convolutional Neural Networks Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units Fighting the scanner effect in brain MRI segmentation with a progressive level-of-detail network trained on multi-site data MS-BACL: enhancing metabolic stability prediction through bond graph augmentation and contrastive learning A fully spiking coupled model of a deep neural network and a recurrent attractor explains dynamics of decision making in an object recognition task