AIMC Topic: Computer Simulation

Clear Filters Showing 421 to 430 of 3963 articles

Deep reinforcement learning control of combined chemotherapy and anti-angiogenic drug delivery for cancerous tumor treatment.

Computers in biology and medicine Aug 23, 2024
By virtue of the chronic and dangerous nature of cancer, researchers have explored various approaches to managing the abnormal cell growth associated with this disease using novel treatment methods. This study introduces a control system based on nor...
Angiogenesis Inhibitors Computer Simulation Antineoplastic Combined Chemotherapy Protocols Neoplasms Antineoplastic Agents Humans Deep Learning Models, Biological
View on PubMed DOI

Depth estimation from monocular endoscopy using simulation and image transfer approach.

Computers in biology and medicine Aug 22, 2024
Obtaining accurate distance or depth information in endoscopy is crucial for the effective utilization of navigation systems. However, due to space constraints, incorporating depth cameras into endoscopic systems is often impractical. Our goal is to ...
Image Processing, Computer-Assisted Colonography, Computed Tomographic Computer Simulation Colon Humans Deep Learning
View on PubMed DOI

Real-time estimation of the optimal coil placement in transcranial magnetic stimulation using multi-task deep learning.

Scientific reports Aug 21, 2024
Transcranial magnetic stimulation (TMS) has emerged as a promising neuromodulation technique with both therapeutic and diagnostic applications. As accurate coil placement is known to be essential for focal stimulation, computational models have been ...
Glioblastoma Transcranial Magnetic Stimulation Computer Simulation Female Male Deep Learning Adult Humans
View on PubMed DOI

Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs.

Magma (New York, N.Y.) Aug 21, 2024
We aim to provide an overview of technical and clinical unmet needs in deep learning (DL) applications for quantitative and qualitative PET in PET/MR, with a focus on attenuation correction, image enhancement, motion correction, kinetic modeling, and...
Image Enhancement Monte Carlo Method Positron-Emission Tomography Artifacts Phantoms, Imaging Whole Body Imaging Deep Learning Image Processing, Computer-Assisted Multimodal Imaging Motion Magnetic Resonance Imaging Humans Computer Simulation
View on PubMed DOI

Holistic in silico developability assessment of novel classes of small proteins using publicly available sequence-based predictors.

Journal of computer-aided molecular design Aug 20, 2024
The development of novel therapeutic proteins is a lengthy and costly process, with an average attrition rate of 91% (Thomas et al. Clinical Development Success Rates and Contributing Factors 2011-2020, 2021). To increase the probability of success a...
Humans Machine Learning Algorithms Drug Discovery Computer Simulation Proteins Drug Design
View on PubMed DOI

Interplay between depth and width for interpolation in neural ODEs.

Neural networks : the official journal of the International Neural Network Society Aug 19, 2024
Neural ordinary differential equations have emerged as a natural tool for supervised learning from a control perspective, yet a complete understanding of the role played by their architecture remains elusive. In this work, we examine the interplay be...
Supervised Machine Learning Humans Algorithms Neural Networks, Computer Computer Simulation Probability
View on PubMed DOI

Reduced order modelling of intracranial aneurysm flow using proper orthogonal decomposition and neural networks.

International journal for numerical methods in biomedical engineering Aug 18, 2024
Reduced order modelling (ROMs) methods, such as proper orthogonal decomposition (POD), systematically reduce the dimensionality of high-fidelity computational models and potentially achieve large gains in execution speed. Machine learning (ML) using ...
Intracranial Aneurysm Humans Neural Networks, Computer Computer Simulation Machine Learning Models, Cardiovascular
View on PubMed DOI

Finite-time cluster synchronization of multi-weighted fractional-order coupled neural networks with and without impulsive effects.

Neural networks : the official journal of the International Neural Network Society Aug 17, 2024
In this paper, finite-time cluster synchronization (FTCS) of multi-weighted fractional-order neural networks is studied. Firstly, a FTCS criterion of the considered neural networks is obtained by designing a new delayed state feedback controller. Sec...
Computer Simulation Feedback Nonlinear Dynamics Time Factors Neural Networks, Computer Algorithms
View on PubMed DOI

The combined Lyapunov functionals method for stability analysis of neutral Cohen-Grossberg neural networks with multiple delays.

Neural networks : the official journal of the International Neural Network Society Aug 16, 2024
This research article will employ the combined Lyapunov functionals method to deal with stability analysis of a more general type of Cohen-Grossberg neural networks which simultaneously involve constant time and neutral delay parameters. By utilizing...
Neural Networks, Computer Time Factors Algorithms Computer Simulation
View on PubMed DOI

Don't Let Your Analysis Go to Seed: On the Impact of Random Seed on Machine Learning-based Causal Inference.

Epidemiology (Cambridge, Mass.) Aug 16, 2024
Machine learning techniques for causal effect estimation can enhance the reliability of epidemiologic analyses, reducing their dependence on correct model specifications. However, the stochastic nature of many machine learning algorithms implies that...
Machine Learning Algorithms Causality Humans Computer Simulation Models, Statistical Reproducibility of Results Epidemiologic Methods
View on PubMed DOI
Popular Topics
Recent Journals