Article

Telomere length and chromosomal instability for predicting individual radiosensitivity and risk via machine learning

2020-03-29

Abstract excerpt

The ability to predict a cancer patient’s response to radiotherapy and risk of developing adverse late health effects would greatly improve personalized treatment regimens and individual outcomes. Telomeres represent a compelling biomarker of individual radiosensitivity and risk, as exposure can result in dysfunctional telomere pathologies that coincidentally overlap with many radiation-induced late effects, rangi...

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Identifiers and source

Literature Corpus work: 918f31ec-9e34-524c-a291-8697a80fba63
DOI: 10.1101/2020.03.27.009043

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