AIMC Topic: Radiation Tolerance

Clear Filters Showing 11 to 15 of 15 articles

Improving the therapeutic ratio of radiotherapy against radioresistant cancers: Leveraging on novel artificial intelligence-based approaches for drug combination discovery.

Cancer letters Apr 29, 2021
Despite numerous advances in cancer radiotherapy, tumor radioresistance remain one of the major challenges limiting treatment efficacy of radiotherapy. Conventional strategies to overcome radioresistance involve understanding the underpinning molecul...
Artificial Intelligence Neoplasms Humans Radiation Oncology Radiation Tolerance Drug Combinations Drug Discovery
View on PubMed DOI

Deep learning-assisted literature mining for in vitro radiosensitivity data.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Aug 17, 2019
BACKGROUND AND PURPOSE: Integrated analysis of existing radiosensitivity data obtained by the gold-standard clonogenic assay has the potential to improve our understanding of cancer cell radioresistance. However, extraction of radiosensitivity data f...
Cell Survival Humans Deep Learning Radiation Tolerance Data Mining
View on PubMed DOI

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...
Phenotype Animals Neural Networks, Computer Image Processing, Computer-Assisted Mice Cell Line, Tumor Neoplasms Humans Microscopy, Phase-Contrast Radiation Tolerance
View on PubMed DOI

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...
Radiation Tolerance Gamma Rays Hemorrhage Erectile Dysfunction Rectum Male Biomarkers, Tumor Genome-Wide Association Study Middle Aged Prognosis Aged Humans Machine Learning Neoplasm Proteins Signal Transduction Polymorphism, Single Nucleotide Cohort Studies Gene Expression Regulation, Neoplastic Prostatic Neoplasms Prostate
View on PubMed DOI

[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...
Ions Astragalus Plant Plant Extracts Cell Line, Tumor DNA Damage Mice Apoptosis Radiation Tolerance Animals Signal Transduction Neoplasms, Experimental Cell Cycle
View on PubMed
Popular Topics
Recent Journals