Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers

INTRODUCTION: Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds—urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algorithms can automatically quantify radiographic chara...

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Detalles Bibliográficos
Autores principales: Trebeschi, S, Drago, S G, Birkbak, N J, Kurilova, I, Cǎlin, A M, Delli Pizzi, A, Lalezari, F, Lambregts, D M J, Rohaan, M W, Parmar, C, Rozeman, E A, Hartemink, K J, Swanton, C, Haanen, J B A G, Blank, C U, Smit, E F, Beets-Tan, R G H, Aerts, H J W L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Original articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594459/
https://www.ncbi.nlm.nih.gov/pubmed/30895304
http://dx.doi.org/10.1093/annonc/mdz108

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594459/
https://www.ncbi.nlm.nih.gov/pubmed/30895304
http://dx.doi.org/10.1093/annonc/mdz108

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