AIMC Topic: Linear Energy Transfer

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GANDALF: Generative ANsatz for DNA damage evALuation and Forecast. A neural network-based regression for estimating early DNA damage across micro-nano scales.

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) Mar 20, 2025
PURPOSE: This study aims to develop a comprehensive simulation framework to connect radiation effects from the microscopic to the nanoscopic scale.
Algorithms Escherichia coli Neural Networks, Computer Protons Linear Energy Transfer Regression Analysis DNA Damage
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Online Adaptive Proton Therapy Facilitated by Artificial Intelligence-Based Autosegmentation in Pencil Beam Scanning Proton Therapy.

International journal of radiation oncology, biology, physics Sep 20, 2024
PURPOSE: Online adaptive proton therapy (oAPT) is essential to address interfractional anatomical changes in patients receiving pencil beam scanning proton therapy. Artificial intelligence (AI)-based autosegmentation can increase the efficiency and a...
Humans Artificial Intelligence Male Prostatic Neoplasms Retrospective Studies Tomography, X-Ray Computed Linear Energy Transfer Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Proton Therapy Workflow Feasibility Studies Rectum
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A deep-learning-based surrogate model for Monte-Carlo simulations of the linear energy transfer in primary brain tumor patients treated with proton-beam radiotherapy.

Physics in medicine and biology Aug 12, 2024
This study explores the use of neural networks (NNs) as surrogate models for Monte-Carlo (MC) simulations in predicting the dose-averaged linear energy transfer (LET) of protons in proton-beam therapy based on the planned dose distribution and patien...
Linear Energy Transfer Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Monte Carlo Method Proton Therapy Brain Neoplasms Deep Learning Humans
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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...
Humans Radiotherapy Dosage Monte Carlo Method Proton Therapy Linear Energy Transfer Deep Learning Radiotherapy Planning, Computer-Assisted Male
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Deep learning-based synthetic dose-weighted LET map generation for intensity modulated proton therapy.

Physics in medicine and biology Jan 5, 2024
The advantage of proton therapy as compared to photon therapy stems from the Bragg peak effect, which allows protons to deposit most of their energy directly at the tumor while sparing healthy tissue. However, even with such benefits, proton therapy ...
Protons Linear Energy Transfer Relative Biological Effectiveness Monte Carlo Method Proton Therapy Radiotherapy Planning, Computer-Assisted Deep Learning
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MALDI-Imaging for Classification of Epithelial Ovarian Cancer Histotypes from a Tissue Microarray Using Machine Learning Methods.

Proteomics. Clinical applications Dec 14, 2018
PURPOSE: Precise histological classification of epithelial ovarian cancer (EOC) has immanent diagnostic and therapeutic consequences, but remains challenging in histological routine. The aim of this pilot study is to examine the potential of matrix-a...
Carcinoma, Ovarian Epithelial Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization Discriminant Analysis Linear Energy Transfer Molecular Imaging Tissue Array Analysis Middle Aged Proteomics Support Vector Machine Ovarian Neoplasms Machine Learning Female Humans
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