Deciphering the response and resistance to immune-checkpoint inhibitors in lung cancer with artificial intelligence-based analysis: when PIONeeR meets QUANTIC

This project aims to generate dense longitudinal data in lung cancer patients undergoing anti-PD1/PDL1 therapy. Mathematical modelling with mechanistic learning algorithms will help decipher the mechanisms underlying the response or resistance to immunotherapy. A better understanding of these mechan...

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Detalles Bibliográficos
Autores principales: Ciccolini, Joseph, Benzekry, Sébastien, Barlesi, Fabrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Comment
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403333/
https://www.ncbi.nlm.nih.gov/pubmed/32541872
http://dx.doi.org/10.1038/s41416-020-0918-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7403333/
https://www.ncbi.nlm.nih.gov/pubmed/32541872
http://dx.doi.org/10.1038/s41416-020-0918-3

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