AIMC Topic: Monte Carlo Method

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Neural parameter calibration and uncertainty quantification for epidemic forecasting.

PloS one Oct 17, 2024
The recent COVID-19 pandemic has thrown the importance of accurately forecasting contagion dynamics and learning infection parameters into sharp focus. At the same time, effective policy-making requires knowledge of the uncertainty on such prediction...
Markov Chains Calibration Monte Carlo Method Uncertainty Humans COVID-19 Neural Networks, Computer Forecasting Pandemics SARS-CoV-2
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Rheological modelling of apple puree based on machine learning combined Monte Carlo simulation: Insight into the fundamental light- particle structure interaction processes.

Food chemistry Oct 10, 2024
In this work, apple purees from different particle concentration and verifying in size were reconstituted to investigate their impacts on rheological behaviors, optical properties and light interaction at 900-1650 nm. The optical scattering of differ...
Machine Learning Rheology Viscosity Monte Carlo Method Malus Particle Size Light Fruit
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Weighted Expectile Regression Neural Networks for Right Censored Data.

Statistics in medicine Sep 29, 2024
As a favorable alternative to the censored quantile regression, censored expectile regression has been popular in survival analysis due to its flexibility in modeling the heterogeneous effect of covariates. The existing weighted expectile regression ...
Regression Analysis Survival Analysis Monte Carlo Method Neural Networks, Computer Computer Simulation Models, Statistical Humans
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GraphBNC: Machine Learning-Aided Prediction of Interactions Between Metal Nanoclusters and Blood Proteins.

Advanced materials (Deerfield Beach, Fla.) Sep 24, 2024
Hybrid nanostructures between biomolecules and inorganic nanomaterials constitute a largely unexplored field of research, with the potential for novel applications in bioimaging, biosensing, and nanomedicine. Developing such applications relies criti...
Blood Proteins Gold Metal Nanoparticles Molecular Dynamics Simulation Neural Networks, Computer Machine Learning Protein Binding Monte Carlo Method
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A Mode Evolution Metric to Extract Reaction Coordinates for Biomolecular Conformational Transitions.

Journal of chemical theory and computation Sep 17, 2024
The complex, multidimensional energy landscape of biomolecules makes the extraction of suitable, nonintuitive collective variables (CVs) that describe their conformational transitions challenging. At present, dimensionality reduction approaches and m...
Thermodynamics Dipeptides Protein Conformation Monte Carlo Method Machine Learning Molecular Dynamics Simulation
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Hyperspectral imaging with deep learning for quantification of tissue hemoglobin, melanin, and scattering.

Journal of biomedical optics Sep 6, 2024
SIGNIFICANCE: Hyperspectral cameras capture spectral information at each pixel in an image. Acquired spectra can be analyzed to estimate quantities of absorbing and scattering components, but the use of traditional fitting algorithms over megapixel i...
Monte Carlo Method Scattering, Radiation Humans Hyperspectral Imaging Neural Networks, Computer Fingers Image Processing, Computer-Assisted Melanins Hemoglobins Algorithms Deep Learning
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Optimizing number of Raman spectra using an artificial neural network guided Monte Carlo simulation approach to analyze human cortical bone.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Aug 25, 2024
This study presents a novel methodology for optimizing the number of Raman spectra required per sample for human bone compositional analysis. The methodology integrates Artificial Neural Network (ANN) and Monte Carlo Simulation (MCS). We demonstrate ...
Young Adult Humans Cortical Bone Adult Neural Networks, Computer Middle Aged Male Algorithms Spectrum Analysis, Raman Female Monte Carlo Method Aged
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Deep learning applications for quantitative and qualitative PET in PET/MR: technical and clinical unmet needs.

Magma (New York, N.Y.) Aug 21, 2024
We aim to provide an overview of technical and clinical unmet needs in deep learning (DL) applications for quantitative and qualitative PET in PET/MR, with a focus on attenuation correction, image enhancement, motion correction, kinetic modeling, and...
Humans Positron-Emission Tomography Magnetic Resonance Imaging Whole Body Imaging Computer Simulation Multimodal Imaging Monte Carlo Method Artifacts Deep Learning Image Enhancement Phantoms, Imaging Motion Image Processing, Computer-Assisted
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Confidence-Aware Severity Assessment of Lung Disease from Chest X-Rays Using Deep Neural Network on a Multi-Reader Dataset.

Journal of imaging informatics in medicine Aug 20, 2024
In this study, we present a method based on Monte Carlo Dropout (MCD) as Bayesian neural network (BNN) approximation for confidence-aware severity classification of lung diseases in COVID-19 patients using chest X-rays (CXRs). Trained and tested on 1...
Severity of Illness Index Bayes Theorem Lung Diseases Radiography, Thoracic Monte Carlo Method SARS-CoV-2 Male Middle Aged Neural Networks, Computer COVID-19 Female Humans
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Fast prediction of personalized abdominal organ doses from CT examinations by radiomics feature-based machine learning models.

Scientific reports Aug 20, 2024
The X-rays emitted during CT scans can increase solid cancer risks by damaging DNA, with the risk tied to patient-specific organ doses. This study aims to establish a new method to predict patient specific abdominal organ doses from CT examinations u...
Male Middle Aged Abdomen Radiography, Abdominal Radiation Dosage Monte Carlo Method Humans Aged Machine Learning Adult Precision Medicine Software Radiomics Tomography, X-Ray Computed Female
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