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Gouvernement du Canada / Government of Canada

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Cancer modeling and network biology: Accelerating toward personalized medicine

Par Conseil national de recherches du Canada

DOITrouver le DOI : https://doi.org/10.1016/j.semcancer.2014.06.005
ÉditeurRechercher : Masoudi-Nejad, Ali; Rechercher : Wang, Edwin1
Affiliation
  1. Conseil national de recherches Canada. Thérapeutique en santé humaine
FormatTexte, Chapitre de livre
Sujetartificial neural network; cancer modeling; cancer therapy; mathematical model; network biology; personalized medicine; prediction; rating scale; systems biology
Résumé
The complexity of cancer progression can manifests itself on at least three scales that can be described using mathematical models, namely microscopic, mesoscopic and macroscopic scales. Multiscale cancer models have proven to be advantageous in this context because they can simultaneously incorporate the many different characteristics and scales of complex diseases such as cancer. This has driven the expansion of more predictive data-driven models, coupled to experimental and clinical data. These models are defining the foundations that facilitate the forthcoming design of patient specific cancer therapy. This should be considered as a great leap toward the era of personalized medicine. Consequently, further improvements in mathematical modeling of cancer will lead to the design of more sophisticated cancer therapy approaches.
Date de publication
Dans
  • Seminars in Cancer Biology 30 (février 2015) : 1–3.
Langueanglais
Publications évaluées par des pairsOui
Numéro NPARC21275781
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Identificateur de l’enregistrement7aa4eea8-1e00-4b79-9881-0c9e9cc9b5f1
Enregistrement créé2015-07-14
Enregistrement modifié2020-06-11
Date de modification :