AIMC Topic: Radiation Tolerance

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A Convolutional Neural Network Uses Microscopic Images to Differentiate between Mouse and Human Cell Lines and Their Radioresistant Clones.

Cancer research Sep 25, 2018
: Artificial intelligence (AI) trained with a convolutional neural network (CNN) is a recent technological advancement. Previously, several attempts have been made to train AI using medical images for clinical applications. However, whether AI can di...
Humans Neural Networks, Computer Phenotype Animals Neoplasms Cell Line, Tumor Image Processing, Computer-Assisted Mice Radiation Tolerance Microscopy, Phase-Contrast
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Computational methods using genome-wide association studies to predict radiotherapy complications and to identify correlative molecular processes.

Scientific reports Feb 24, 2017
The biological cause of clinically observed variability of normal tissue damage following radiotherapy is poorly understood. We hypothesized that machine/statistical learning methods using single nucleotide polymorphism (SNP)-based genome-wide associ...
Humans Machine Learning Prognosis Aged Biomarkers, Tumor Male Middle Aged Genome-Wide Association Study Cohort Studies Polymorphism, Single Nucleotide Gene Expression Regulation, Neoplastic Signal Transduction Neoplasm Proteins Prostatic Neoplasms Prostate Rectum Hemorrhage Erectile Dysfunction Radiation Tolerance Gamma Rays
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[Enhanced radiosensitivity of H22 ascitic tumor to 12C6+ ions radiation in ultra-filtration extract mixture from Astragalus mongholicus-treated mice].

Yao xue xue bao = Acta pharmaceutica Sinica Dec 1, 2015
This study was designed to investigate the impact of ultra-filtration extract mixture from Astragals mongholicus (UEMAM) o radiosensitivity of H22 ascitic tumor in mice to 12C6+ ions radiation. The H22 ascitic tumor model was established in mice by i...
Animals Cell Line, Tumor Mice Plant Extracts Signal Transduction Apoptosis DNA Damage Ions Astragalus Plant Cell Cycle Neoplasms, Experimental Radiation Tolerance
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