AIMC Topic: Computer Simulation

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Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data.

Annual review of biomedical engineering Jun 20, 2024
Despite the remarkable advances in cancer diagnosis, treatment, and management over the past decade, malignant tumors remain a major public health problem. Further progress in combating cancer may be enabled by personalizing the delivery of therapies...
Humans Artificial Intelligence Computer Simulation Big Data Models, Biological Precision Medicine Patient-Specific Modeling Neoplasms
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Persistent spiking activity in neuromorphic circuits incorporating post-inhibitory rebound excitation.

Journal of neural engineering Jun 20, 2024
. This study introduces a novel approach for integrating the post-inhibitory rebound excitation (PIRE) phenomenon into a neuronal circuit. Excitatory and inhibitory synapses are designed to establish a connection between two hardware neurons, effecti...
Nerve Net Computer Simulation Humans Neural Inhibition Models, Neurological Neural Networks, Computer Action Potentials Neurons Synapses
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Inductive reasoning with type-constrained encoding for emerging entities.

Neural networks : the official journal of the International Neural Network Society Jun 19, 2024
Knowledge graph reasoning, vital for addressing incompleteness and supporting applications, faces challenges with the continuous growth of graphs. To address this challenge, several inductive reasoning models for encoding emerging entities have been ...
Humans Semantics Neural Networks, Computer Knowledge Algorithms Machine Learning Computer Simulation
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A Neurosurgical Readmissions Reduction Program in an Academic Hospital Leveraging Machine Learning, Workflow Analysis, and Simulation.

Applied clinical informatics Jun 19, 2024
BACKGROUND:  Predicting 30-day hospital readmissions is crucial for improving patient outcomes, optimizing resource allocation, and achieving financial savings. Existing studies reporting the development of machine learning (ML) models predictive of ...
Patient Readmission Computer Simulation Female Neurosurgical Procedures Academic Medical Centers Electronic Health Records Humans Male Workflow Machine Learning Middle Aged
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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...
Neural Networks, Computer Algorithms Humans Proportional Hazards Models Models, Statistical Survival Analysis Nonlinear Dynamics Computer Simulation 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 Bayes Theorem Computer Simulation Computational Biology Humans Machine Learning Algorithms Neural Networks, Computer
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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...
Humans Machine Learning Models, Biological Pharmacokinetics Algorithms Computer Simulation
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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
Humans Critical Care Machine Learning Computer Simulation
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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 Computer Simulation Time Factors Neural Networks, Computer Algorithms Humans
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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...
Finite Element Analysis Kinetics Chromatography Neural Networks, Computer Algorithms Adsorption Models, Chemical Computer Simulation
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