AIMC Topic: Monte Carlo Method

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Deep learning based linear energy transfer calculation for proton therapy.

Physics in medicine and biology May 30, 2024
This study aims to address the limitations of traditional methods for calculating linear energy transfer (LET), a critical component in assessing relative biological effectiveness (RBE). Currently, Monte Carlo (MC) simulation, the gold-standard for a...
Linear Energy Transfer Male Deep Learning Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Monte Carlo Method Proton Therapy Humans
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Is deep learning-enabled real-time personalized CT dosimetry feasible using only patient images as input?

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 29, 2024
PURPOSE: To propose a novel deep-learning based dosimetry method that allows quick and accurate estimation of organ doses for individual patients, using only their computed tomography (CT) images as input.
Monte Carlo Method Radiometry Tomography, X-Ray Computed Deep Learning Time Factors Image Processing, Computer-Assisted Feasibility Studies Radiation Dosage Humans Precision Medicine
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Empirical validation of Conformal Prediction for trustworthy skin lesions classification.

Computer methods and programs in biomedicine May 27, 2024
BACKGROUND AND OBJECTIVE: Uncertainty quantification is a pivotal field that contributes to realizing reliable and robust systems. It becomes instrumental in fortifying safe decisions by providing complementary information, particularly within high-r...
Uncertainty Deep Learning Skin Monte Carlo Method Algorithms Humans Skin Neoplasms Neural Networks, Computer
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NPEX: Never give up protein exploration with deep reinforcement learning.

Journal of molecular graphics & modelling May 25, 2024
Elucidating unknown structures of proteins, such as metastable states, is critical in designing therapeutic agents. Protein structure exploration has been performed using advanced computational methods, especially molecular dynamics and Markov chain ...
Dipeptides Protein Conformation Monte Carlo Method Proteins Algorithms Molecular Dynamics Simulation Deep Learning Markov Chains
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Refining the rheological characteristics of high drug loading ointment via SDS and machine learning.

PloS one May 9, 2024
This paper presents an optimized preparation process for external ointment using the Definitive Screening Design (DSD) method. The ointment is a Traditional Chinese Medicine (TCM) formula developed by Professor WYH, a renowned TCM practitioner in Jia...
Monte Carlo Method Rheology Machine Learning Drug Compounding Ointments Medicine, Chinese Traditional Sodium Dodecyl Sulfate Drugs, Chinese Herbal
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Estimation of linezolid exposure in patients with hepatic impairment using machine learning based on a population pharmacokinetic model.

European journal of clinical pharmacology May 8, 2024
PURPOSE: To investigate the pharmacokinetic changes of linezolid in patients with hepatic impairment and to explore a method to predict linezolid exposure.
Machine Learning Anti-Bacterial Agents Female Humans Male Middle Aged Area Under Curve Risk Factors Aged Adult Linezolid Models, Biological Thrombocytopenia Liver Diseases Monte Carlo Method
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A deep-learning-based scatter correction with water equivalent path length map for digital radiography.

Radiological physics and technology May 2, 2024
We proposed a new deep learning (DL) model for accurate scatter correction in digital radiography. The proposed network featured a pixel-wise water equivalent path length (WEPL) map of subjects with diverse sizes and 3D inner structures. The proposed...
Tomography, X-Ray Computed Deep Learning Water Humans Algorithms Monte Carlo Method Scattering, Radiation Phantoms, Imaging Radiographic Image Enhancement Imaging, Three-Dimensional Image Processing, Computer-Assisted Signal-To-Noise Ratio
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Deep learning for high-resolution dose prediction in high dose rate brachytherapy for breast cancer treatment.

Physics in medicine and biology Apr 30, 2024
Monte Carlo (MC) simulations are the benchmark for accurate radiotherapy dose calculations, notably in patient-specific high dose rate brachytherapy (HDR BT), in cases where considering tissue heterogeneities is critical. However, the lengthy computa...
Humans Radiotherapy Dosage Tomography, X-Ray Computed Monte Carlo Method Radiotherapy Planning, Computer-Assisted Radiation Dosage Brachytherapy Female Breast Neoplasms Deep Learning
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Optimisation and Calibration of Bayesian Neural Network for Probabilistic Prediction of Biogas Performance in an Anaerobic Lagoon.

Sensors (Basel, Switzerland) Apr 15, 2024
This study aims to enhance diagnostic capabilities for optimising the performance of the anaerobic sewage treatment lagoon at Melbourne Water's Western Treatment Plant (WTP) through a novel machine learning (ML)-based monitoring strategy. This strate...
Monte Carlo Method Sewage Biofuels Calibration Neural Networks, Computer Machine Learning Anaerobiosis Bayes Theorem
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Aleatoric and epistemic uncertainty extraction of patient-specific deep learning-based dose predictions in LDR prostate brachytherapy.

Physics in medicine and biology Apr 9, 2024
In brachytherapy, deep learning (DL) algorithms have shown the capability of predicting 3D dose volumes. The reliability and accuracy of such methodologies remain under scrutiny for prospective clinical applications. This study aims to establish fast...
Deep Learning Prostate Radiotherapy Planning, Computer-Assisted Brachytherapy Radiotherapy Dosage Monte Carlo Method Prospective Studies Reproducibility of Results Male Humans Uncertainty
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