Cancer modeling and network biology: Accelerating toward personalized medicine

Par Conseil national de recherches du Canada

DOI	Trouver le DOI : https://doi.org/10.1016/j.semcancer.2014.06.005
Éditeur	Rechercher : Masoudi-Nejad, Ali; Rechercher : Wang, Edwin¹
Affiliation	Conseil national de recherches du Canada. Thérapeutique en santé humaine
Format	Texte, Chapitre de livre
Sujet	artificial 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	2015-02
Dans	Seminars in Cancer Biology 30 (février 2015) : 1–3.
Langue	anglais
Publications évaluées par des pairs	Oui
Numéro NPARC	21275781
Exporter la notice	Exporter en format RIS
Signaler une correction	Signaler une correction (s'ouvre dans un nouvel onglet)
Identificateur de l’enregistrement	7aa4eea8-1e00-4b79-9881-0c9e9cc9b5f1
Enregistrement créé	2015-07-14
Enregistrement modifié	2020-06-11

Date de modification :: 2024-12-05