The symposium is a part of the project SIGMAPAD (Systèmes Intelligents en Génétique, Mathématiques et Apprentissage Profond Automatique des Donnés), CNRS, AMIES. The aim of the symposium is to bring together specialists in deep learning and data mining in Biology and Medicine. In recent years, stunning advances in artificial intelligence and deep learning have enabled the biological and medical community to adopt a more systematic and pragmatic look at the huge data bases available from laboratory experiments. We believe that private - academic collaborations in this field can be of great benefit for new biological understanding and for the discovery of new medical approaches.

   Poster of the symposium

     6th-7th february 2019

     ENS Lyon, Site Descartes, Buisson building, France. Pay attention to the change of location, due to the number of inscriptions.

  Registration is closed since the amphitheatre capacity is attained.

Christophe Combet (Centre de Recherche en Cancérologie de Lyon (CRCL), Inserm, CNRS, Université Lyon 1, Centre Léon Bérard, Hospices Civils de Lyon, France)

Irène Gannaz (Institut Camille Jordan (ICJ), INSA Lyon, France)

Samy Melaine (Data Genius, Lyon, France)

Alexei Tsygvintsev (Unité de Mathématiques Pures et Appliquées (UMPA), ENS Lyon, France)