Integrated noninvasive diagnostics for prediction of survival in immunotherapy-Reference-Cited by-同舟云学术

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Integrated noninvasive diagnostics for prediction of survival in immunotherapy

Published:2024-12 Issue: Volume:24 Page:100723
ISSN:2590-0188
Container-title:Immuno-Oncology and Technology
language:en
Short-container-title:Immuno-Oncology and Technology

Author:

Yeghaian M.,Bodalal Z.,Tareco Bucho T.M.,Kurilova I.,Blank C.U.,Smit E.F.,van der Heijden M.S.,Nguyen-Kim T.D.L.,van den Broek D.,Beets-Tan R.G.H.,Trebeschi S.

Funder

Maastricht University

Publisher

Elsevier BV

Reference63 articles.

1. The role of biomarkers in personalized immunotherapy;Sankar;Biomark Res,2022

2. Role of radiomics in predicting immunotherapy response;Kothari;J Med Imaging Radiat Oncol,2022

3. Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers;Trebeschi;Ann Oncol,2019

4. Prognostic value of deep learning-mediated treatment monitoring in lung cancer patients receiving immunotherapy;Trebeschi;Front Oncol,2021

5. Assessing PD-L1 expression in non-small cell lung cancer and predicting responses to immune checkpoint inhibitors using deep learning on computed tomography images;Tian;Theranostics,2021

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