Artificial Intelligence-based Radiomics in the Era of Immuno-oncology

The recent, rapid advances in immuno-oncology have revolutionized cancer treatment and spurred further research into tumor biology. Yet, cancer patients respond variably to immunotherapy despite mounting evidence to support its efficacy. Current methods for predicting immunotherapy response are unre...

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Detalles Bibliográficos
Autores principales: Kang, Cyra Y, Duarte, Samantha E, Kim, Hye Sung, Kim, Eugene, Park, Jonghanne, Lee, Alice Daeun, Kim, Yeseul, Kim, Leeseul, Cho, Sukjoo, Oh, Yoojin, Gim, Gahyun, Park, Inae, Lee, Dongyup, Abazeed, Mohamed, Velichko, Yury S, Chae, Young Kwang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Cancer Diagnostics and Molecular Pathology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177100/
https://www.ncbi.nlm.nih.gov/pubmed/35348765
http://dx.doi.org/10.1093/oncolo/oyac036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177100/
https://www.ncbi.nlm.nih.gov/pubmed/35348765
http://dx.doi.org/10.1093/oncolo/oyac036

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