Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology - Sorbonne Université Access content directly
Journal Articles Journal of Hepatology Year : 2022

Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology

Qinghe Zeng
Christophe Klein
Centre d'Histologie, d'Imagerie et de Cytométrie
Centre de Recherche des Cordeliers
CV
Stefano Caruso
  • Function : Author
Pascale Maille
  • Function : Author
Narmin Ghaffari Laleh
  • Function : Author
Daniele Sommacale
  • Function : Author
Alexis Laurent
Giuliana Amaddeo
  • Function : Author
David Gentien
  • Function : Author
Audrey Rapinat
  • Function : Author
Hélène Regnault
Cécile Charpy
  • Function : Author
Cong Trung Nguyen
  • Function : Author
Christophe Tournigand
  • Function : Author
Raffaele Brustia
  • Function : Author
Jean Michel Pawlotsky
Jakob Nikolas Kather
Maria Chiara Maiuri
  • Function : Author
Nicolas Loménie
  • Function : Author
Julien Calderaro
  • Function : Author

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Life Sciences [q-bio] Computer Science [cs]

Christophe Klein  : Connect in order to contact the contributor

https://hal.sorbonne-universite.fr/hal-04210277

Submitted on : Monday, September 18, 2023-4:54:32 PM

Last modification on : Saturday, October 7, 2023-9:36:25 PM

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hal-04210277 , version 1 (18-09-2023)

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Qinghe Zeng, Christophe Klein, Stefano Caruso, Pascale Maille, Narmin Ghaffari Laleh, et al.. Artificial intelligence predicts immune and inflammatory gene signatures directly from hepatocellular carcinoma histology. Journal of Hepatology, 2022, 77 (1), pp.116-127. ⟨10.1016/j.jhep.2022.01.018⟩. ⟨hal-04210277⟩

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