AIMC Topic: Radiobiology

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An artificial intelligence-based model for cell killing prediction: development, validation and explainability analysis of the ANAKIN model.

Physics in medicine and biology Apr 10, 2023
The present work develops ANAKIN: an. ANAKIN is trained and tested over 513 cell survival experiments with different types of radiation contained in the publicly available PIDE database. We show how ANAKIN accurately predicts several relevant biologi...
Artificial Intelligence Radiobiology Relative Biological Effectiveness Cell Death Cell Line
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Revealing low-temperature plasma efficacy through a dose-rate assessment by DNA damage detection combined with machine learning models.

Scientific reports Nov 1, 2022
Low-temperature plasmas have quickly emerged as alternative and unconventional types of radiation that offer great promise for various clinical modalities. As with other types of radiation, the therapeutic efficacy and safety of low-temperature plasm...
Radiobiology Cold Temperature Machine Learning DNA Damage Temperature
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Moving Forward in the Next Decade: Radiation Oncology Sciences for Patient-Centered Cancer Care.

JNCI cancer spectrum May 17, 2021
In a time of rapid advances in science and technology, the opportunities for radiation oncology are undergoing transformational change. The linkage between and understanding of the physical dose and induced biological perturbations are opening entire...
Photochemotherapy Clinical Trials as Topic Radiopharmaceuticals Radiation Tolerance Radiobiology Hyperthermia, Induced Radiotherapy Big Data Humans Patient-Centered Care Radiation Oncology Research Neutron Capture Therapy Neoplasms Artificial Intelligence Relative Biological Effectiveness Research Support as Topic
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The Coming of Age for Big Data in Systems Radiobiology, an Engineering Perspective.

Big data Sep 29, 2020
As high-throughput approaches in biological and biomedical research are transforming the life sciences into information-driven disciplines, modern analytics platforms for big data have started to address the needs for efficient and systematic data an...
Big Data Animals Artificial Intelligence Radiobiology Research Design
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Preliminary results in using Deep Learning to emulate BLOB, a nuclear interaction model.

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) Apr 21, 2020
PURPOSE: A reliable model to simulate nuclear interactions is fundamental for Ion-therapy. We already showed how BLOB ("Boltzmann-Langevin One Body"), a model developed to simulate heavy ion interactions up to few hundreds of MeV/u, could simulate al...
Monte Carlo Method Deep Learning Radiobiology
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Deep learning can see the unseeable: predicting molecular markers from MRI of brain gliomas.

Clinical radiology Mar 5, 2019
This paper describes state-of-the-art methods for molecular biomarker prediction utilising magnetic resonance imaging. This review paper covers both classical machine learning approaches and deep learning approaches to identifying the predictive feat...
Radiobiology Humans Deep Learning Magnetic Resonance Imaging Glioma Genomics Mutation Biomarkers, Tumor Brain Neoplasms
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Artificial intelligence: a challenge for third millennium radiologist.

La Radiologia medica Feb 1, 2019
Radiobiology Genomics Image Interpretation, Computer-Assisted Artificial Intelligence Diagnostic Imaging Diagnostic Errors Humans Diagnosis, Differential
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