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Personalized oncology with artificial intelligence: The case of temozolomide

Author

Listed:
  • Nicolas Houy

    (GATE Lyon Saint-Étienne - Groupe d'Analyse et de Théorie Economique Lyon - Saint-Etienne - ENS de Lyon - École normale supérieure de Lyon - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - UJM - Université Jean Monnet - Saint-Étienne - CNRS - Centre National de la Recherche Scientifique)

  • François Le Grand

    (EM - EMLyon Business School)

Abstract

No abstract is available for this item.

Suggested Citation

  • Nicolas Houy & François Le Grand, 2019. "Personalized oncology with artificial intelligence: The case of temozolomide," Post-Print halshs-02386458, HAL.
    • Handle: RePEc:hal:journl:halshs-02386458
    DOI: 10.1016/j.artmed.2019.07.001
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-02386458
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    File URL: https://shs.hal.science/halshs-02386458/document
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    File URL: https://libkey.io/10.1016/j.artmed.2019.07.001?utm_source=ideas
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    References listed on IDEAS

    as
    1. Nicolas Houy & François Le Grand, 2018. "Optimal dynamic regimens with artificial intelligence: The case of temozolomide," Post-Print halshs-01949651, HAL.
    2. Nicolas Houy & François Le Grand, 2018. "Optimal dynamic regimens with artificial intelligence : The case of temozolomide," Post-Print hal-02312154, HAL.
    Full references (including those not matched with items on IDEAS)

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