Genomics models in radiotherapy: From mechanistic to machine learning
Abstract
Machine learning (ML) provides a broad framework for addressing high-dimensional prediction problems in classification and regression. While ML is often applied for imaging problems in medical physics, there are many efforts to apply these principles to biological data toward questions of radiation biology. Here, we provide a review of radiogenomics modeling frameworks and efforts toward genomically guided radiotherapy. We first discuss medical...
Paper Details
Title
Genomics models in radiotherapy: From mechanistic to machine learning
Published Date
May 1, 2020
Journal
Volume
47
Issue
5
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