Artificial Intelligence Applied to Oncology

  • Jean-Yves BlayEmail author
  • Jurgi Camblong
  • François Sigaux


Western medicine is founded on the notion of medical evidence based on controlled clinical trials and the consensus of expert communities. This practice is robust and responds well to the needs of the so-called “average” patient. However, it lacks the tools and data to implement the recently established notion of precision medicine. Precision medicine in cancerology consists in taking into account the biological characteristics of patients and their tumors, the useful parameters of which are essentially currently provided by genomics and the rapid emergence of expression profiles of both cancer cells and immune cells. To implement such precision medicine practitioners must stay abreast and cope with knowledge of increasing scope and complexity in real time and optimize their analytical processes to take into account the large number of logical rules that quickly arise.

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Jean-Yves Blay
    • 1
    Email author
  • Jurgi Camblong
    • 2
  • François Sigaux
    • 3
  1. 1.Léon Bérard Centre, Unicancer, Groupe Sarcome FrançaisNETSARC, EURACAN, Centre de Recherche en Cancérologie de Lyon, LYRICAN, Université Claude Bernard Lyon 1LyonFrance
  2. 2.Council for Digital Transformation, Swiss Federal GovernmentBernSwitzerland
  3. 3.University of Paris Diderot—APHPParisFrance

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