AIMC Topic: Computer Simulation

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Learning Enabled Control for Optimal EPO Dosage in Virtual CKD Patients: Case of Bleeding and Missing Dosage.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Traditional model-based control methods require predictive models to design control policies. These models often suffer limitations on dimensionality, uncertainty, and unmodeled dynamics. This affects the performance of control policy, especially, pe...
Machine Learning Computer Simulation Humans Renal Insufficiency, Chronic Erythropoietin Hemorrhage
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Surrogate Simulation of Subject-Specific Lateral Pinch via Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Musculoskeletal modeling and simulation is often a lengthy and computationally expensive process, particularly when developing and using personalized models. We present a deep learning-based adaptive surrogate model for lateral pinch, which accepts b...
Computer Simulation Deep Learning Humans Models, Biological
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Novel calibration design improves knowledge transfer across products for the characterization of pharmaceutical bioprocesses.

Biotechnology journal Jul 1, 2024
Modern machine learning has the potential to fundamentally change the way bioprocesses are developed. In particular, horizontal knowledge transfer methods, which seek to exploit data from historical processes to facilitate process development for a n...
Calibration Machine Learning Computer Simulation Animals
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LinFlo-Net: A Two-Stage Deep Learning Method to Generate Simulation Ready Meshes of the Heart.

Journal of biomechanical engineering Jul 1, 2024
We present a deep learning model to automatically generate computer models of the human heart from patient imaging data with an emphasis on its capability to generate thin-walled cardiac structures. Our method works by deforming a template mesh to fi...
Humans Image Processing, Computer-Assisted Computer Simulation Heart Deep Learning Finite Element Analysis
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CODEX: COunterfactual Deep learning for the in silico EXploration of cancer cell line perturbations.

Bioinformatics (Oxford, England) Jun 28, 2024
MOTIVATION: High-throughput screens (HTS) provide a powerful tool to decipher the causal effects of chemical and genetic perturbations on cancer cell lines. Their ability to evaluate a wide spectrum of interventions, from single drugs to intricate dr...
Antineoplastic Agents Computer Simulation High-Throughput Screening Assays Cell Line, Tumor Deep Learning Neoplasms Computational Biology Humans Software
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Rapid assessment of cosmic radiation exposure in aviation based on BP neural network method.

Radiation protection dosimetry Jun 18, 2024
Cosmic radiation exposure is one of the important health concerns for aircrews. In this work, we constructed a back propagation neural network model for the real-time and rapid assessment of cosmic radiation exposure to the public in aviation. The mu...
Radiation Dosage Humans Monte Carlo Method Occupational Exposure Radiation Monitoring Radiation Exposure Cosmic Radiation Aviation Aircraft Neural Networks, Computer Computer Simulation
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A Mean Field to Capture Asynchronous Irregular Dynamics of Conductance-Based Networks of Adaptive Quadratic Integrate-and-Fire Neuron Models.

Neural computation Jun 7, 2024
Mean-field models are a class of models used in computational neuroscience to study the behavior of large populations of neurons. These models are based on the idea of representing the activity of a large number of neurons as the average behavior of ...
Synapses Nerve Net Computer Simulation Action Potentials Models, Neurological Humans Animals Neurons Neural Networks, Computer
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SuPreMo: a computational tool for streamlining in silico perturbation using sequence-based predictive models.

Bioinformatics (Oxford, England) Jun 3, 2024
SUMMARY: The increasing development of sequence-based machine learning models has raised the demand for manipulating sequences for this application. However, existing approaches to edit and evaluate genome sequences using models have limitations, suc...
Machine Learning Software Humans Mutagenesis Computer Simulation Computational Biology
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The Role of Morphological Variation in Evolutionary Robotics: Maximizing Performance and Robustness.

Evolutionary computation Jun 3, 2024
Exposing an evolutionary algorithm that is used to evolve robot controllers to variable conditions is necessary to obtain solutions which are robust and can cross the reality gap. However, we do not yet have methods for analyzing and understanding th...
Robotics Biological Evolution Algorithms Computer Simulation
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Comparing Robot Controller Optimization Methods on Evolvable Morphologies.

Evolutionary computation Jun 3, 2024
In this paper, we compare Bayesian Optimization, Differential Evolution, and an Evolution Strategy employed as a gait-learning algorithm in modular robots. The motivational scenario is the joint evolution of morphologies and controllers, where "newbo...
Robotics Bayes Theorem Algorithms Computer Simulation Gait Humans Artificial Intelligence
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