AIMC Topic: Computer Graphics

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Accurate prediction of drug combination risk levels based on relational graph convolutional network and multi-head attention.

Journal of translational medicine Jun 16, 2024
BACKGROUND: Accurately identifying the risk level of drug combinations is of great significance in investigating the mechanisms of combination medication and adverse reactions. Most existing methods can only predict whether there is an interaction be...
Humans Neural Networks, Computer Reproducibility of Results Drug Interactions Drug-Related Side Effects and Adverse Reactions Computer Graphics Risk Assessment Drug Combinations
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Learning dynamic graph representations through timespan view contrasts.

Neural networks : the official journal of the International Neural Network Society May 9, 2024
The rich information underlying graphs has inspired further investigation of unsupervised graph representation. Existing studies mainly depend on node features and topological properties within static graphs to create self-supervised signals, neglect...
Computer Graphics Algorithms Time Factors Humans Neural Networks, Computer
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Graph-Driven Simultaneous and Proportional Estimation of Wrist Angle and Grasp Force via High-Density EMG.

IEEE journal of biomedical and health informatics May 6, 2024
Myoelectric prostheses are generally unable to accurately control the position and force simultaneously, prohibiting natural and intuitive human-machine interaction. This issue is attributed to the limitations of myoelectric interfaces in effectively...
Humans Young Adult Adult Biomechanical Phenomena Man-Machine Systems Neural Networks, Computer Data Visualization Data Analysis Electromyography Prostheses and Implants Electrodes Wrist Movement Deep Learning Correlation of Data Computer Graphics Hand Strength
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From GPUs to AI and quantum: three waves of acceleration in bioinformatics.

Drug discovery today Apr 23, 2024
The enormous growth in the amount of data generated by the life sciences is continuously shifting the field from model-driven science towards data-driven science. The need for efficient processing has led to the adoption of massively parallel acceler...
Humans Artificial Intelligence Drug Discovery Neural Networks, Computer Computer Graphics Computational Biology Quantum Theory
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Molecular Docking Improved with Human Spatial Perception Using Virtual Reality.

IEEE transactions on visualization and computer graphics Apr 19, 2024
Adaptive steered molecular dynamics (ASMD) is a computational biophysics method in which an external force is applied to a selected set of atoms or a specific reaction coordinate to induce a particular molecular motion. Virtual reality (VR) based met...
Ligands Perception Computer Graphics Virtual Reality Proteins Artificial Intelligence Molecular Docking Simulation Humans
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A novel interactive deep cascade spectral graph convolutional network with multi-relational graphs for disease prediction.

Neural networks : the official journal of the International Neural Network Society Apr 1, 2024
Graph neural networks (GNNs) have recently grown in popularity for disease prediction. Existing GNN-based methods primarily build the graph topological structure around a single modality and combine it with other modalities to acquire feature represe...
Neural Networks, Computer Algorithms Computer Graphics Humans Deep Learning
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Visualizing and Comparing Machine Learning Predictions to Improve Human-AI Teaming on the Example of Cell Lineage.

IEEE transactions on visualization and computer graphics Feb 28, 2024
We visualize the predictions of multiple machine learning models to help biologists as they interactively make decisions about cell lineage-the development of a (plant) embryo from a single ovum cell. Based on a confocal microscopy dataset, tradition...
Cell Lineage Databases, Genetic Computer Graphics Humans Machine Learning
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Automated model building and protein identification in cryo-EM maps.

Nature Feb 26, 2024
Interpreting electron cryo-microscopy (cryo-EM) maps with atomic models requires high levels of expertise and labour-intensive manual intervention in three-dimensional computer graphics programs. Here we present ModelAngelo, a machine-learning approa...
Proteins Models, Molecular Neural Networks, Computer Protein Conformation Amino Acid Sequence Machine Learning Cryoelectron Microscopy Markov Chains Computer Graphics
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DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization.

IEEE transactions on visualization and computer graphics Jun 29, 2023
Since 2016, we have witnessed the tremendous growth of artificial intelligence+visualization (AI+VIS) research. However, existing survey articles on AI+VIS focus on visual analytics and information visualization, not scientific visualization (SciVis)...
Deep Learning Artificial Intelligence Computer Graphics
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Polyphony: an Interactive Transfer Learning Framework for Single-Cell Data Analysis.

IEEE transactions on visualization and computer graphics Dec 20, 2022
Reference-based cell-type annotation can significantly reduce time and effort in single-cell analysis by transferring labels from a previously-annotated dataset to a new dataset. However, label transfer by end-to-end computational methods is challeng...
Single-Cell Analysis Computer Graphics Machine Learning Humans Data Analysis Artificial Intelligence
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