AIMC Topic: Computer Simulation

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deepAFT: A nonlinear accelerated failure time model with artificial neural network.

Statistics in medicine Jun 18, 2024
The Cox regression model or accelerated failure time regression models are often used for describing the relationship between survival outcomes and potential explanatory variables. These models assume the studied covariates are connected to the survi...
Models, Statistical Neural Networks, Computer Proportional Hazards Models Survival Analysis Algorithms Humans Computer Simulation Nonlinear Dynamics Deep Learning
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Missing data in amortized simulation-based neural posterior estimation.

PLoS computational biology Jun 17, 2024
Amortized simulation-based neural posterior estimation provides a novel machine learning based approach for solving parameter estimation problems. It has been shown to be computationally efficient and able to handle complex models and data sets. Yet,...
Data Interpretation, Statistical Neural Networks, Computer Machine Learning Bayes Theorem Humans Algorithms Computer Simulation Computational Biology
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Simulating realistic patient profiles from pharmacokinetic models by a machine learning postprocessing correction of residual variability.

CPT: pharmacometrics & systems pharmacology Jun 14, 2024
We address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical pur...
Computer Simulation Models, Biological Humans Pharmacokinetics Machine Learning Algorithms
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Moving From In Silico to In Clinico Evaluations of Machine Learning-Based Interventions in Critical Care.

Critical care medicine Jun 13, 2024
Computer Simulation Critical Care Humans Machine Learning
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Inverse-free zeroing neural network for time-variant nonlinear optimization with manipulator applications.

Neural networks : the official journal of the International Neural Network Society Jun 12, 2024
In this paper, the problem of time-variant optimization subject to nonlinear equation constraint is studied. To solve the challenging problem, methods based on the neural networks, such as zeroing neural network and gradient neural network, are commo...
Robotics Nonlinear Dynamics Algorithms Humans Computer Simulation Neural Networks, Computer Time Factors
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A parameter estimation method for chromatographic separation process based on physics-informed neural network.

Journal of chromatography. A Jun 12, 2024
Chromatographic separation processes are most often modeled in the form of partial differential equations (PDEs) to describe the complex adsorption equilibria and kinetics. However, identifying parameters in such a model requires substantial computat...
Algorithms Computer Simulation Models, Chemical Kinetics Adsorption Neural Networks, Computer Chromatography Finite Element Analysis
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Investigating the impact of initial parameters on autonomous robot swarm movement strategies for enhanced exploration efficiency: a comprehensive study.

Bioinspiration & biomimetics Jun 12, 2024
Swarm robots are frequently preferred for the exploration of harsh environments and search and rescue operations. This study explores the factors that influence the movement strategies of autonomous robot swarms and their impact on swarm distribution...
Computer Simulation Animals Motion Biomimetics Movement Robotics Models, Biological
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Experiment-free exoskeleton assistance via learning in simulation.

Nature Jun 12, 2024
Exoskeletons have enormous potential to improve human locomotive performance. However, their development and broad dissemination are limited by the requirement for lengthy human tests and handcrafted control laws. Here we show an experiment-free meth...
Exoskeleton Device Self-Help Devices Persons with Disabilities Robotics Running Hip Walking Humans Computer Simulation Learning
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Res-TransNet: A Hybrid deep Learning Network for Predicting Pathological Subtypes of lung Adenocarcinoma in CT Images.

Journal of imaging informatics in medicine Jun 11, 2024
This study aims to develop a CT-based hybrid deep learning network to predict pathological subtypes of early-stage lung adenocarcinoma by integrating residual network (ResNet) with Vision Transformer (ViT). A total of 1411 pathologically confirmed gr...
Adenocarcinoma of Lung Image Processing, Computer-Assisted Lung Neoplasms Humans Tomography, X-Ray Computed Computer Simulation Female Retrospective Studies Male Middle Aged Deep Learning
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Assessing the anticholinergic cognitive burden classification of putative anticholinergic drugs using drug properties.

British journal of clinical pharmacology Jun 11, 2024
AIMS: This study evaluated the use of machine learning to leverage drug absorption, distribution, metabolism and excretion (ADME) data together with physicochemical and pharmacological data to develop a novel anticholinergic burden scale and compare ...
Humans Machine Learning Computer Simulation Models, Biological ATP Binding Cassette Transporter, Subfamily B, Member 1 Biological Availability Blood-Brain Barrier Cognition Muscarinic Antagonists Cholinergic Antagonists
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