AIMC Topic: Computer Simulation

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Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra.

Journal of biomedical optics Jan 11, 2024
SIGNIFICANCE: Machine learning (ML)-enabled diffuse reflectance spectroscopy (DRS) is increasingly used as an alternative to the computation-intensive inverse Monte Carlo (MCI) simulation to predict tissue's optical properties, including the absorpti...
Neural Networks, Computer Phantoms, Imaging Computer Simulation Spectrum Analysis Monte Carlo Method
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Distributed continuous-time accelerated neurodynamic approaches for sparse recovery via smooth approximation to L-minimization.

Neural networks : the official journal of the International Neural Network Society Jan 10, 2024
This paper develops two continuous-time distributed accelerated neurodynamic approaches for solving sparse recovery via smooth approximation to L-norm minimization problem. First, the L-norm minimization problem is converted into a distributed smooth...
Neural Networks, Computer Consensus Computer Simulation
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Robotic surgery education in Australia and New Zealand: primetime for a curriculum.

ANZ journal of surgery Jan 9, 2024
BACKGROUND: Globally, robotic surgery (RS) has witnessed remarkable growth, yet Australia and New Zealand (ANZ) lack dedicated RS training programs, creating a workforce gap. This narrative review synthesises international research to explore trends ...
Internship and Residency Curriculum Robotics Clinical Competence New Zealand Humans Robotic Surgical Procedures Computer Simulation
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Generative artificial intelligence empowers digital twins in drug discovery and clinical trials.

Expert opinion on drug discovery Jan 8, 2024
INTRODUCTION: The concept of Digital Twins (DTs) translated to drug development and clinical trials describes virtual representations of systems of various complexities, ranging from individual cells to entire humans, and enables in silico simulation...
Artificial Intelligence Computer Simulation Humans Drug Development Clinical Trials as Topic Biomedical Research Drug Discovery
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The critical role of neutrophil-endothelial cell interactions in sepsis: new synergistic approaches employing organ-on-chip, omics, immune cell phenotyping and modeling to identify new therapeutics.

Frontiers in cellular and infection microbiology Jan 8, 2024
Sepsis is a global health concern accounting for more than 1 in 5 deaths worldwide. Sepsis is now defined as life-threatening organ dysfunction caused by a dysregulated host response to infection. Sepsis can develop from bacterial (gram negative or g...
Cell Communication Animals Machine Learning Neutrophils Computer Simulation Humans Sepsis
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Reinforcement learning-based consensus control for MASs with intermittent constraints.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2024
In this article, an adaptive optimal consensus control problem is studied for multiagent systems in the strict-feedback structure with intermittent constraints (the constraints appear intermittently). More specifically, by designing a novel switch-li...
Nonlinear Dynamics Algorithms Neural Networks, Computer Computer Simulation Consensus
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Counterfactual formulation of patient-specific root causes of disease.

Journal of biomedical informatics Jan 6, 2024
OBJECTIVE: Root causes of disease intuitively correspond to root vertices of a causal model that increase the likelihood of a diagnosis. This description of a root cause nevertheless lacks the rigorous mathematical formulation needed for the developm...
Artificial Intelligence Models, Theoretical Computer Simulation Humans
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Supervised diagnostic classification of cognitive attributes using data augmentation.

PloS one Jan 5, 2024
Over recent decades, machine learning, an integral subfield of artificial intelligence, has revolutionized diverse sectors, enabling data-driven decisions with minimal human intervention. In particular, the field of educational assessment emerges as ...
Artificial Intelligence Computer Simulation Humans Cognition Educational Measurement Students
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Repeated Decision Stumping Distils Simple Rules from Single-Cell Data.

Journal of computational biology : a journal of computational molecular cell biology Jan 4, 2024
Single-cell data afford unprecedented insights into molecular processes. But the complexity and size of these data sets have proved challenging and given rise to a large armory of statistical and machine learning approaches. The majority of approache...
Machine Learning Computer Simulation Algorithms
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The emergence of machine learning force fields in drug design.

Medicinal research reviews Jan 3, 2024
In the field of molecular simulation for drug design, traditional molecular mechanic force fields and quantum chemical theories have been instrumental but limited in terms of scalability and computational efficiency. To overcome these limitations, ma...
Humans Molecular Structure Computer Simulation Drug Design Machine Learning
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