AIMC Topic: Computer Simulation

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Exploring the Low-Dose Limit for Focal Hepatic Lesion Detection with a Deep Learning-Based CT Reconstruction Algorithm: A Simulation Study on Patient Images.

Journal of imaging informatics in medicine Mar 19, 2024
This study aims to investigate the maximum achievable dose reduction for applying a new deep learning-based reconstruction algorithm, namely the artificial intelligence iterative reconstruction (AIIR), in computed tomography (CT) for hepatic lesion d...
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Liver Neoplasms Image Processing, Computer-Assisted Liver Middle Aged Deep Learning Humans Algorithms Aged, 80 and over Retrospective Studies Tomography, X-Ray Computed Adult Female Computer Simulation Male Aged
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Short-term power load forecasting method based on Bagging-stochastic configuration networks.

PloS one Mar 19, 2024
Accurate short-term load forecasting is of great significance in improving the dispatching efficiency of power grids, ensuring the safe and reliable operation of power grids, and guiding power systems to formulate reasonable production plans and redu...
Neural Networks, Computer Forecasting Computer Simulation Algorithms Weather
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In Silico Prediction of Oral Acute Rodent Toxicity Using Consensus Machine Learning.

Journal of chemical information and modeling Mar 18, 2024
Acute oral toxicity (AOT) is required for the classification and labeling of chemicals according to the global harmonized system (GHS). Acute oral toxicity studies are optimized to minimize the use of animals. However, with the advent of the three p...
Computer Simulation Animals Machine Learning Mice Toxicity Tests, Acute Administration, Oral Rats Rodentia
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Adaptive Virotherapy Strategy for Organism With Constrained Input Using Medicine Dosage Regulation Mechanism.

IEEE transactions on cybernetics Mar 18, 2024
In this article, the constrained adaptive control strategy based on virotherapy is investigated for organism using the medicine dosage regulation mechanism (MDRM). First, the tumor-virus-immune interaction dynamics is established to model the relatio...
Computer Simulation Feedback Nonlinear Dynamics Neural Networks, Computer Algorithms
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Optimization of Ganciclovir and Valganciclovir Starting Dose in Children by Machine Learning.

Clinical pharmacokinetics Mar 16, 2024
BACKGROUND AND OBJECTIVES: Ganciclovir (GCV) and valganciclovir (VGCV) show large interindividual pharmacokinetic variability, particularly in children. The objectives of this study were (1) to develop machine learning (ML) algorithms trained on simu...
Ganciclovir Antiviral Agents Area Under Curve Monte Carlo Method Valganciclovir Models, Biological Adolescent Humans Child, Preschool Machine Learning Child Male Computer Simulation Infant Female Algorithms
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Opportunities, challenges, and future directions of large language models, including ChatGPT in medical education: a systematic scoping review.

Journal of educational evaluation for health professions Mar 15, 2024
BACKGROUND: ChatGPT is a large language model (LLM) based on artificial intelligence (AI) capable of responding in multiple languages and generating nuanced and highly complex responses. While ChatGPT holds promising applications in medical education...
Learning Artificial Intelligence Education, Medical Computer Simulation Language
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Deep-learning approach to stratified reconstructions of tissue absorption and scattering in time-domain spatial frequency domain imaging.

Journal of biomedical optics Mar 12, 2024
SIGNIFICANCE: The conventional optical properties (OPs) reconstruction in spatial frequency domain (SFD) imaging, like the lookup table (LUT) method, causes OPs aliasing and yields only average OPs without depth resolution. Integrating SFD imaging wi...
Deep Learning Diagnostic Imaging Phantoms, Imaging Computer Simulation
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Deep-NCA: A deep learning methodology for performing noncompartmental analysis of pharmacokinetic data.

CPT: pharmacometrics & systems pharmacology Mar 11, 2024
Noncompartmental analysis (NCA) is a model-independent approach for assessing pharmacokinetics (PKs). Although the existing NCA algorithms are very well-established and widely utilized, they suffer from low accuracies in the setting of sparse PK samp...
Computer Simulation Deep Learning Drug Development Humans Algorithms Pharmacokinetics Pharmaceutical Preparations Models, Biological
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scFSNN: a feature selection method based on neural network for single-cell RNA-seq data.

BMC genomics Mar 8, 2024
While single-cell RNA sequencing (scRNA-seq) allows researchers to analyze gene expression in individual cells, its unique characteristics like over-dispersion, zero-inflation, high gene-gene correlation, and large data volume with many features pose...
Gene Expression Profiling Neural Networks, Computer Single-Cell Analysis Sequence Analysis, RNA Single-Cell Gene Expression Analysis Computer Simulation Cluster Analysis
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Evaluation of different approaches to define expert benchmark scores for new robotic training simulators based on the Medtronic HUGO™ RAS surgical robot experience.

Journal of robotic surgery Mar 7, 2024
New robot-assisted surgery platforms being developed will be required to have proficiency-based simulation training available. Scoring methodologies and performance feedback for trainees are currently not consistent across all robotic simulator platf...
Surgeons Robotics Robotic Surgical Procedures Humans Computer Simulation Benchmarking
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