AIMC Topic: Computer Simulation

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A connectivity-constrained computational account of topographic organization in primate high-level visual cortex.

Proceedings of the National Academy of Sciences of the United States of America Jan 18, 2022
Inferotemporal (IT) cortex in humans and other primates is topographically organized, containing multiple hierarchically organized areas selective for particular domains, such as faces and scenes. This organization is commonly viewed in terms of evol...
Models, Neurological Neurons Primates Visual Pathways Visual Cortex Computer Simulation Animals Neural Networks, Computer
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BioNet: a large-scale and heterogeneous biological network model for interaction prediction with graph convolution.

Briefings in bioinformatics Jan 17, 2022
MOTIVATION: Understanding chemical-gene interactions (CGIs) is crucial for screening drugs. Wet experiments are usually costly and laborious, which limits relevant studies to a small scale. On the contrary, computational studies enable efficient in-s...
Neural Networks, Computer Computer Simulation Computational Biology Models, Biological
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Learning representation for multiple biological networks via a robust graph regularized integration approach.

Briefings in bioinformatics Jan 17, 2022
Learning node representation is a fundamental problem in biological network analysis, as compact representation features reveal complicated network structures and carry useful information for downstream tasks such as link prediction and node classifi...
Neural Networks, Computer Learning Diffusion Computer Simulation
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The machine as a partner: Human-machine teaming design using the PRODEC method.

Work (Reading, Mass.) Jan 1, 2022
BACKGROUND: Human-machine teaming (HMT) typically combines perspectives from systems engineering, artificial intelligence (AI) and human-centered design (HCD), to achieve human systems integration (HSI) through the development of an integrative syste...
Humans Artificial Intelligence Computer Simulation Trust Aircraft Engineering
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Journal of biosciences Jan 1, 2022
Network biology finds application in interpreting molecular interaction networks and providing insightful inferences using graph theoretical analysis of biological systems. The integration of computational biomodelling approaches with different hybri...
Computational Biology Computer Simulation Gene Regulatory Networks Machine Learning Algorithms Artificial Intelligence
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GRNUlar: A Deep Learning Framework for Recovering Single-Cell Gene Regulatory Networks.

Journal of computational biology : a journal of computational molecular cell biology Jan 1, 2022
We propose GRNUlar, a novel deep learning framework for supervised learning of gene regulatory networks (GRNs) from single-cell RNA-Sequencing (scRNA-Seq) data. Our framework incorporates two intertwined models. First, we leverage the expressive abil...
Humans Computer Simulation Computational Biology Animals Escherichia coli Databases, Nucleic Acid Deep Learning Supervised Machine Learning Gene Regulatory Networks Neural Networks, Computer Saccharomyces cerevisiae Mice Algorithms Bias Single-Cell Analysis RNA-Seq
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[Improvement of Motion Artifacts in Brain MRI Using Deep Learning by Simulation Training Data].

Nihon Hoshasen Gijutsu Gakkai zasshi Jan 1, 2022
PURPOSE: To test whether deep learning can be used to effectively reduce artifacts in MR images of the brain.
Deep Learning Simulation Training Image Processing, Computer-Assisted Artifacts Signal-To-Noise Ratio Magnetic Resonance Imaging Humans Brain Computer Simulation
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Trial Approach for Biomedical Products: A Regulatory Perspective.

Combinatorial chemistry & high throughput screening Jan 1, 2022
The modern pharmaceutical industry is transitioning from traditional methods to advanced technologies like artificial intelligence. In the current scenario, continuous efforts are being made to incorporate computational modeling and simulation in dru...
United States Pharmaceutical Preparations Artificial Intelligence Computer Simulation United States Food and Drug Administration Drug Industry
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Machine Learning for In Silico ADMET Prediction.

Methods in molecular biology (Clifton, N.J.) Jan 1, 2022
ADMET (absorption, distribution, metabolism, excretion, and toxicity) describes a drug molecule's pharmacokinetics and pharmacodynamics properties. ADMET profile of a bioactive compound can impact its efficacy and safety. Moreover, efficacy and safet...
Quantitative Structure-Activity Relationship Computer Simulation Machine Learning Drug Discovery
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Validation of a Simulation Model for Robotic Sacrocolpopexy.

Female pelvic medicine & reconstructive surgery Jan 1, 2022
OBJECTIVE: We sought to validate a simulation model for robotic sacrocolpopexy (RSCP) that includes multiple steps: presacral dissection/mesh attachment, vaginal mesh attachment, and peritoneal closure.
Female Reproducibility of Results Humans Computer Simulation Robotics Robotic Surgical Procedures Internship and Residency Surgeons Clinical Competence
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