Article (Scientific journals)
Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
Bekisz, Sophie; Geris, Liesbet
2020In Journal of Computational Science, 46 (101198)
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Keywords :
Mathematical oncology; In silico methods; Cancer biology; Computational modeling; In silico clinical trials
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Bekisz, Sophie  ;  Université de Liège - ULiège > GIGA In silico medecine - Biomechanics Research Unit
Geris, Liesbet  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Génie biomécanique
Language :
English
Title :
Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
Publication date :
October 2020
Journal title :
Journal of Computational Science
eISSN :
1877-7503
Publisher :
Elsevier, Netherlands
Special issue title :
20 years of computational science
Volume :
46
Issue :
101198
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 772418 - INSITE - Development and use of an integrated in silico-in vitro mesofluidics system for tissue engineering
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
CER - Conseil Européen de la Recherche [BE]
ULiège - Université de Liège [BE]
CE - Commission Européenne [BE]
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