AIMC Topic: Computer Simulation

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FetoML: Interpretable predictions of the fetotoxicity of drugs based on machine learning approaches.

Molecular informatics Jun 8, 2024
Pregnant females may use medications to manage health problems that develop during pregnancy or that they had prior to pregnancy. However, using medications during pregnancy has a potential risk to the fetus. Assessing the fetotoxicity of drugs is es...
Fetus Female Drug-Related Side Effects and Adverse Reactions Humans Computer Simulation Pregnancy Machine Learning
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DDT-Net: Dose-Agnostic Dual-Task Transfer Network for Simultaneous Low-Dose CT Denoising and Simulation.

IEEE journal of biomedical and health informatics Jun 6, 2024
Deep learning (DL) algorithms have achieved unprecedented success in low-dose CT (LDCT) imaging and are expected to be a new generation of CT reconstruction technology. However, most DL-based denoising models often lack the ability to generalize to u...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Radiation Dosage Computer Simulation Tomography, X-Ray Computed
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Physics-informed neural networks for parameter estimation in blood flow models.

Computers in biology and medicine Jun 5, 2024
BACKGROUND: Physics-informed neural networks (PINNs) have emerged as a powerful tool for solving inverse problems, especially in cases where no complete information about the system is known and scatter measurements are available. This is especially ...
Computer Simulation Aorta Hemodynamics Blood Flow Velocity Models, Cardiovascular Humans Neural Networks, Computer
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Real-time position and pose prediction for a self-propelled undulatory swimmer in 3D space with artificial lateral line system.

Bioinspiration & biomimetics Jun 5, 2024
This study aims to investigate the feasibility of using an artificial lateral line (ALL) system for predicting the real-time position and pose of an undulating swimmer with Carangiform swimming patterns. We established a 3D computational fluid dynami...
Lateral Line System Swimming Hydrodynamics Animals Robotics Perciformes Biomimetics Models, Biological Neural Networks, Computer Computer Simulation
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Adaptive neural fault-tolerant prescribed performance control of a rehabilitation exoskeleton for lower limb passive training.

ISA transactions Jun 4, 2024
This article studies the passive tracking problem of a wearable exoskeleton for lower limb rehabilitation therapy in the face of unmodeled dynamics, interactive friction, disturbance, prescribed performance constraints, and actuator faults. Adaptive ...
Nonlinear Dynamics Algorithms Exoskeleton Device Computer Simulation Humans Lower Extremity Equipment Design Feedback Neural Networks, Computer
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A novel framework based on explainable AI and genetic algorithms for designing neurological medicines.

Scientific reports Jun 4, 2024
The advent of the fourth industrial revolution, characterized by artificial intelligence (AI) as its central component, has resulted in the mechanization of numerous previously labor-intensive activities. The use of in silico tools has become prevale...
Neuropeptides Artificial Intelligence Algorithms Drug Design Deep Learning Computer Simulation Humans
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Meta-learning based blind image super-resolution approach to different degradations.

Neural networks : the official journal of the International Neural Network Society Jun 3, 2024
Although recent studies on blind single image super-resolution (SISR) have achieved significant success, most of them typically require supervised training on synthetic low resolution (LR)-high resolution (HR) paired images. This leads to re-training...
Computer Simulation Deep Learning Image Processing, Computer-Assisted Machine Learning Algorithms Humans Neural Networks, Computer
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Containment control for fractional-order networked system with intermittent sampled position communication.

Neural networks : the official journal of the International Neural Network Society Jun 3, 2024
This paper investigates containment control for fractional-order networked systems. Two novel intermittent sampled position communication protocols, where controllers only need to keep working during communication width of every sampling period under...
Communication Neural Networks, Computer Algorithms Computer Simulation
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Data-driven learning of structure augments quantitative prediction of biological responses.

PLoS computational biology Jun 3, 2024
Multi-factor screenings are commonly used in diverse applications in medicine and bioengineering, including optimizing combination drug treatments and microbiome engineering. Despite the advances in high-throughput technologies, large-scale experimen...
Machine Learning Drug Resistance, Bacterial Computer Simulation Humans Regression Analysis Bacterial Infections Models, Biological Bacteria Escherichia coli Plasmids Bioengineering
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Machine-Learning Assisted Screening of Correlated Covariates: Application to Clinical Data of Desipramine.

The AAPS journal May 30, 2024
Stepwise covariate modeling (SCM) has a high computational burden and can select the wrong covariates. Machine learning (ML) has been proposed as a screening tool to improve the efficiency of covariate selection, but little is known about how to appl...
Models, Biological Desipramine Humans Antidepressive Agents, Tricyclic Machine Learning Algorithms Computer Simulation
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