Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success-Reference-Cited by-同舟云学术

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

Published:2016-07-06 Issue:9 Volume:44 Page:2626-2641
ISSN:0090-6964
Container-title:Annals of Biomedical Engineering
language:en
Short-container-title:Ann Biomed Eng

Author:

Yankeelov Thomas E.,An Gary,Saut Oliver,Luebeck E. Georg,Popel Aleksander S.,Ribba Benjamin,Vicini Paolo,Zhou Xiaobo,Weis Jared A.,Ye Kaiming,Genin Guy M.

Funder

Cancer Prevention and Research Institute of Texas

National Cancer Institute

National Institute of General Medical Sciences

NIDDK

French National Research Agency

National Institute of Biomedical Imaging and Bioengineering

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s10439-016-1691-6.pdf

Reference103 articles.

1. Adam, J., and N. Bellomo. A survey of models for tumor-immune system dynamics. Berlin: Springer, 2012.

2. Aerts, H. J., E. R. Velazquez, R. T. Leijenaar, C. Parmar, P. Grossmann, S. Carvalho, J. Bussink, R. Monshouwer, B. Haibe-Kains, D. Rietveld, F. Hoebers, M. M. Rietbergen, C. R. Leemans, A. Dekker, J. Quackenbush, R. J. Gillies, and P. Lambin. Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach. Nat. Commun. 5:4006, 2014.

3. Ambrosi, D., and L. Preziosi. On the closure of mass balance modes for tumors growth. Math. Models Methods Appl. Sci. 12(05):737–753, 2002.

4. An, G. Closing the scientific loop: bridging correlation and causality in the petaflop age. Sci. Transl. Med. 2(41):41, 2010.

5. An, G., and S. Kulkarni. An agent-based modeling framework linking inflammation and cancer using evolutionary principles: description of a generative hierarchy for the hallmarks of cancer and developing a bridge between mechanism and epidemiological data. Math. Biosci. 260:16–24, 2015.

Cited by 71 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical Modeling of Cancer Progression;AppliedMath;2024-09-02

2. Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data;Annual Review of Biomedical Engineering;2024-07-03

3. A Multidisciplinary Hyper-Modeling Scheme in Personalized In Silico Oncology: Coupling Cell Kinetics with Metabolism, Signaling Networks, and Biomechanics as Plug-In Component Models of a Cancer Digital Twin;Journal of Personalized Medicine;2024-04-29

4. Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies;Theranostics;2024

5. System Biology Modeling for Drug Optimization;In Silico Clinical Trials for Cardiovascular Disease;2024