AIMC Topic: Computer Simulation

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Feature-based detection of breast cancer using convolutional neural network and feature engineering.

Scientific reports Sep 27, 2024
Breast cancer (BC) is a prominent cause of female mortality on a global scale. Recently, there has been growing interest in utilizing blood and tissue-based biomarkers to detect and diagnose BC, as this method offers a non-invasive approach. To impro...
Machine Learning Data Display Data Analysis Biomarkers Breast Neoplasms Convolutional Neural Networks Humans Datasets as Topic Computer Simulation Female
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Integrating dynamic models and neural networks to discover the mechanism of meteorological factors on Aedes population.

PLoS computational biology Sep 27, 2024
Aedes mosquitoes, known as vectors of mosquito-borne diseases, pose significant risks to public health and safety. Modeling the population dynamics of Aedes mosquitoes requires comprehensive approaches due to the complex interplay between biological ...
Meteorological Concepts Neural Networks, Computer Computational Biology Population Dynamics Models, Biological Temperature Aedes Animals Machine Learning Mosquito Vectors China Computer Simulation Oviposition Female
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A Practical Method for Predicting Compound Brain Concentration-Time Profiles: Combination of PK Modeling and Machine Learning.

Molecular pharmaceutics Sep 26, 2024
Given the aging populations in advanced countries globally, many pharmaceutical companies have focused on developing central nervous system (CNS) drugs. However, due to the blood-brain barrier, drugs do not easily reach the target area in the brain. ...
Animals Drug Discovery Mice Brain Computer Simulation Blood-Brain Barrier Models, Biological Central Nervous System Agents Tissue Distribution Machine Learning
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In Silico Modeling of Fabry Disease Pathophysiology for the Identification of Early Cellular Damage Biomarker Candidates.

International journal of molecular sciences Sep 25, 2024
Fabry disease (FD) is an X-linked lysosomal disease whose ultimate consequences are the accumulation of sphingolipids and subsequent inflammatory events, mainly at the endothelial level. The outcomes include different nervous system manifestations as...
Biomarkers Computer Simulation Protein Serine-Threonine Kinases Humans Machine Learning Lamin Type A Fabry Disease
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Intelligent optimal control model of selection pressure for rapid culture of aerobic granular sludge based on machine learning and simulated annealing algorithm.

Bioresource technology Sep 24, 2024
Aerobic Granular Sludge (AGS) has advantages over Activated sludge (AS) but faces challenges with long granulation periods. In this study, a novel grey-box model is devised to optimize the cultivation of AGS to shorten the formation time. This model ...
Machine Learning Algorithms Computer Simulation Models, Theoretical Sewage Aerobiosis
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Forecasting and Predicting Stochastic Agent-Based Model Data with Biologically-Informed Neural Networks.

Bulletin of mathematical biology Sep 23, 2024
Collective migration is an important component of many biological processes, including wound healing, tumorigenesis, and embryo development. Spatial agent-based models (ABMs) are often used to model collective migration, but it is challenging to thor...
Systems Analysis Computer Simulation Humans Models, Biological Animals Neural Networks, Computer Dictyostelium Stochastic Processes Cell Movement Forecasting Mathematical Concepts
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Spectral integrated neural networks (SINNs) for solving forward and inverse dynamic problems.

Neural networks : the official journal of the International Neural Network Society Sep 22, 2024
This study introduces an innovative neural network framework named spectral integrated neural networks (SINNs) to address both forward and inverse dynamic problems in three-dimensional space. In the SINNs, the spectral integration technique is utiliz...
Neural Networks, Computer Algorithms Computer Simulation Nonlinear Dynamics
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Physics-Informed Graph Neural Networks to solve 1-D equations of blood flow.

Computer methods and programs in biomedicine Sep 20, 2024
BACKGROUND AND OBJECTIVE: Computational models of hemodynamics can contribute to optimizing surgical plans, and improve our understanding of cardiovascular diseases. Recently, machine learning methods have become essential to reduce the computational...
Computer Simulation Hemodynamics Blood Flow Velocity Models, Cardiovascular Arteries Neural Networks, Computer Humans Machine Learning Algorithms
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Prediction of directional solidification in freeze casting of biomaterial scaffolds using physics-informed neural networks.

Biomedical physics & engineering express Sep 20, 2024
Freeze casting, a manufacturing technique widely applied in biomedical fields for fabricating biomaterial scaffolds, poses challenges for predicting directional solidification due to its highly nonlinear behavior and complex interplay of process para...
Neural Networks, Computer Tissue Scaffolds Algorithms Freezing Computer Simulation Humans Hydrodynamics Temperature Biocompatible Materials Tissue Engineering
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Real-Time Calibration-Free Musculotendon Kinematics for Neuromusculoskeletal Models.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society Sep 20, 2024
Neuromusculoskeletal (NMS) models enable non-invasive estimation of clinically important internal biomechanics. A critical part of NMS modelling is the estimation of musculotendon kinematics, which comprise musculotendon unit lengths, moment arms, an...
Adult Calibration Computer Systems Humans Algorithms Biomechanical Phenomena Muscle, Skeletal Neural Networks, Computer Computer Simulation Male Models, Biological Female
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