AIMC Topic: Computer Simulation

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Modeling crash avoidance behaviors in vehicle-pedestrian near-miss scenarios: Curvilinear time-to-collision and Mamba-driven deep reinforcement learning.

Accident; analysis and prevention Mar 4, 2025
Interactions between vehicle-pedestrian at intersections often lead to safety-critical situations. This study aims to model the crash avoidance behaviors of vehicles during interactions with pedestrians in near-miss scenarios, contributing to the dev...
Pedestrians Accidents, Traffic Safety Reinforcement Machine Learning Avoidance Learning Unmanned Aerial Devices Time Factors Models, Theoretical Environment Design Algorithms Computer Simulation Deep Learning Humans
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Enhancing Blood-Brain Barrier Penetration Prediction by Machine Learning-Based Integration of Novel and Existing, In Silico and Experimental Molecular Parameters from a Standardized Database.

Journal of chemical information and modeling Mar 4, 2025
Predicting blood-brain barrier (BBB) penetration is crucial for developing central nervous system (CNS) drugs, representing a significant hurdle in successful clinical phase I studies. One of the most valuable properties for this prediction is the po...
Computer Simulation Blood-Brain Barrier Biological Transport Humans Machine Learning Databases, Factual
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Deep learning-assisted identification and localization of ductal carcinoma from bulk tissue in-silico models generated through polarized Monte Carlo simulations.

Biomedical physics & engineering express Mar 4, 2025
Despite significant progress in diagnosis and treatment, breast cancer remains a formidable health challenge, emphasizing the continuous need for research. This simulation study uses polarized Monte Carlo approach to identify and locate breast cancer...
Humans Neural Networks, Computer Algorithms Deep Learning Monte Carlo Method Computer Simulation Image Processing, Computer-Assisted Female Carcinoma, Ductal, Breast Breast Neoplasms
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Loss formulations for assumption-free neural inference of SDE coefficient functions.

NPJ systems biology and applications Mar 1, 2025
Stochastic differential equations (SDEs) are one of the most commonly studied probabilistic dynamical systems, and widely used to model complex biological processes. Building upon the previously introduced idea of performing inference of dynamical sy...
Stochastic Processes Neural Networks, Computer Algorithms Computer Simulation
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Denoising Diffusion Probabilistic Model to Simulate Contrast-enhanced spinal MRI of Spinal Tumors: A Multi-Center Study.

Academic radiology Feb 28, 2025
RATIONALE AND OBJECTIVES: To generate virtual T1 contrast-enhanced (T1CE) sequences from plain spinal MRI sequences using the denoising diffusion probabilistic model (DDPM) and to compare its performance against one baseline model pix2pix and three a...
Middle Aged Spinal Neoplasms Humans Image Enhancement Algorithms Contrast Media Reproducibility of Results Signal-To-Noise Ratio Adult Magnetic Resonance Imaging Aged Diffusion Magnetic Resonance Imaging Sensitivity and Specificity Models, Statistical Computer Simulation Male Image Interpretation, Computer-Assisted Female Artifacts
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Adaptive Synaptic Scaling in Spiking Networks for Continual Learning and Enhanced Robustness.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Synaptic plasticity plays a critical role in the expression power of brain neural networks. Among diverse plasticity rules, synaptic scaling presents indispensable effects on homeostasis maintenance and synaptic strength regulation. In the current mo...
Neural Networks, Computer Algorithms Computer Simulation Neuronal Plasticity Models, Neurological Learning Animals Humans Action Potentials Neurons Synapses
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A Generative Shape Compositional Framework to Synthesize Populations of Virtual Chimeras.

IEEE transactions on neural networks and learning systems Feb 28, 2025
Generating virtual organ populations that capture sufficient variability while remaining plausible is essential to conduct in silico trials (ISTs) of medical devices. However, not all anatomical shapes of interest are always available for each indivi...
Databases, Factual Humans Models, Anatomic Magnetic Resonance Imaging Computer Simulation Neural Networks, Computer Heart Image Processing, Computer-Assisted Algorithms
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Estimation of Ganciclovir Exposure in Adults Transplant Patients by Machine Learning.

The AAPS journal Feb 28, 2025
INTRODUCTION: Valganciclovir, a prodrug of ganciclovir (GCV), is used to prevent cytomegalovirus infection after transplantation, with doses adjusted based on creatinine clearance (CrCL) to target GCV AUC0-24 h of 40-60 mg*h/L. This sometimes leads t...
Cytomegalovirus Infections Humans Models, Biological Machine Learning Creatinine Algorithms Antiviral Agents Computer Simulation Valganciclovir Area Under Curve Adult Organ Transplantation Ganciclovir
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Design and implementation of an independent-drive bionic dragonfly robot.

Bioinspiration & biomimetics Feb 27, 2025
Bionic flapping wing robots achieve flight by imitating animal flapping wings, which are safe, flexible, and efficient. Their practicality and human-machine symbiosis in narrow and complex environments are better than traditional fixed-wing or multir...
Wings, Animal Odonata Equipment Failure Analysis Bionics Animals Computer Simulation Flight, Animal Equipment Design Robotics Biomimetics
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AI/ML modeling to enhance the capability of in vitro and in vivo tests in predicting human carcinogenicity.

Mutation research. Genetic toxicology and environmental mutagenesis Feb 26, 2025
This study aimed to develop an in silico model for predicting human carcinogenicity using advanced deep learning techniques, specifically Graph Neural Networks (GNN), through a multitask learning (MTL) approach. The MTL framework leveraged auxiliary ...
Carcinogenicity Tests Animals Deep Learning Humans Carcinogens Neural Networks, Computer Computer Simulation
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