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Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients

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Bibliographic Details
Published in:Cancer Medicine
Format: Online Article RSS Article
Published: 2026
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container_title Cancer Medicine
description
discipline_display Oncology
discipline_facet Oncology
format Online Article
RSS Article
genre Journal Article
id rss_article:91193
institution FRELIP
journal_source_facet Cancer Medicine
last_indexed 2026-06-13T02:00:50.500Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
Oncology
General
Oncology
sub_discipline_display General
sub_discipline_facet General
subject_display Oncology
General
Oncology
Oncology
General
Oncology
subject_facet Oncology
General
Oncology
title Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
title_auth Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
title_full Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
title_fullStr Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
title_full_unstemmed Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
title_short Predicting Post‐Radiotherapy Epigenetic Age Acceleration From Pre‐Treatment Data Using a Machine Learning Framework in Head and Neck Cancer Patients
title_sort predicting post‐radiotherapy epigenetic age acceleration from pre‐treatment data using a machine learning framework in head and neck cancer patients
topic Oncology
General
Oncology
url https://onlinelibrary.wiley.com/doi/10.1002/cam4.72014?af=R