Artificial Intelligence and Machine Learning in Predicting the Response to Immunotherapy in Non-small Cell Lung Carcinoma: A Systematic Review-Reference-Cited by-同舟云学术

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Artificial Intelligence and Machine Learning in Predicting the Response to Immunotherapy in Non-small Cell Lung Carcinoma: A Systematic Review

Published:2024-05-28 Issue: Volume: Page:
ISSN:2168-8184
Container-title:Cureus
language:en
Short-container-title:

Author:

Sinha Tanya,Khan Aiman,Awan Manahil,Bokhari Syed Faqeer Hussain,Ali Khawar,Amir Maaz,Jadhav Aneesh N,Bakht Danyal,Puli Sai Teja,Burhanuddin Mohammad

Publisher

Springer Science and Business Media LLC

Reference35 articles.

1. Non-small-cell lung cancer;Gridelli C;Nat Rev Dis Primers,2015

2. Treatment and prognosis of advanced stage non-small-cell lung cancer (Article in French);Chermiti Ben Abdallah F;Rev Mal Respir,2014

3. Prognostic models for immunotherapy in non-small cell lung cancer: a comprehensive review;Ni S;Heliyon,2024

4. Biomarkers of immunotherapy in non-small cell lung cancer;Wang L;Oncol Lett,2020

5. The efficacy of tumor mutation burden as a biomarker of response to immune checkpoint inhibitors;Moeckel C;Int J Mol Sci,2023

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Holistic Approach to Implementing Artificial Intelligence in Lung Cancer;Indian Journal of Surgical Oncology;2024-09-05

2. Applications of CT-based radiomics for the prediction of immune checkpoint markers and immunotherapeutic outcomes in non-small cell lung cancer;Frontiers in Immunology;2024-08-22

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