Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Annals of Biomedical Engineering Year : 2016

Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success

Abstract

Hierarchical processes spanning several orders of magnitude of both space and time underlie nearly all cancers. Multi-scale statistical, mathematical, and computational modeling methods are central to designing, implementing and assessing treatment strategies that account for these hierarchies. The basic science underlying these modeling efforts is maturing into a new discipline that is close to influencing and facilitating clinical successes. The purpose of this review is to capture the state-of-the-art as well as the key barriers to success for multi-scale modeling in clinical oncol- ogy. We begin with a summary of the long-envisioned promise of multi-scale modeling in clinical oncology, including the synthesis of disparate data types into models that reveal underlying mechanisms and allow for experimental testing of hypotheses. We then evaluate the mathematical techniques employed most widely and present several examples illustrat- ing their application as well as the current gap between pre- clinical and clinical applications. We conclude with a discus- sion of what we view to be the key challenges and opportunities for multi-scale modeling in clinical oncology.
Fichier principal
Vignette du fichier
MSM_oncology_manuscript_revised_v4.pdf (222.28 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01396241 , version 1 (14-11-2016)

Identifiers

  • HAL Id : hal-01396241 , version 1

Cite

Thomas E. Yankeelov, Gary An, Oliver Saut, Guy M. Genin, E. Georg Luebeck, et al.. Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success. Annals of Biomedical Engineering, 2016, 44 (9). ⟨hal-01396241⟩
425 View
267 Download

Share

Gmail Facebook X LinkedIn More