Are Adaptive Chemotherapy Schedules Robust? A Three-Strategy Stochastic Evolutionary Game Theory Model
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Are Adaptive Chemotherapy Schedules Robust? A Three-Strategy Stochastic Evolutionary Game Theory Model
Authors
Keywords
-
Journal
Cancers
Volume 13, Issue 12, Pages 2880
Publisher
MDPI AG
Online
2021-06-09
DOI
10.3390/cancers13122880
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Towards Multidrug Adaptive Therapy
- (2020) Jeffrey West et al. CANCER RESEARCH
- Fixation probabilities for the Moran process with three or more strategies: general and coupling results
- (2020) Eliza M. Ferreira et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Antibiotics can be used to contain drug-resistant bacteria by maintaining sufficiently large sensitive populations
- (2020) Elsa Hansen et al. PLOS BIOLOGY
- Modifying Adaptive Therapy to Enhance Competitive Suppression
- (2020) Elsa Hansen et al. Cancers
- Fibroblasts and alectinib switch the evolutionary games played by non-small cell lung cancer
- (2019) Artem Kaznatcheev et al. Nature Ecology & Evolution
- Multidrug cancer therapy in metastatic castrate-resistant prostate cancer: An evolution-based strategy
- (2019) Jeffrey B West et al. CLINICAL CANCER RESEARCH
- Capitalizing on competition: An evolutionary model of competitive release in metastatic castration resistant prostate cancer treatment
- (2018) Jeffrey West et al. JOURNAL OF THEORETICAL BIOLOGY
- Tumour heterogeneity and resistance to cancer therapies
- (2017) Ibiayi Dagogo-Jack et al. Nature Reviews Clinical Oncology
- Integrating evolutionary dynamics into treatment of metastatic castrate-resistant prostate cancer
- (2017) Jingsong Zhang et al. Nature Communications
- Evolution of cooperation in a particular case of the infinitely repeated prisoner’s dilemma with three strategies
- (2016) Irene Núñez Rodríguez et al. JOURNAL OF MATHEMATICAL BIOLOGY
- Exploiting evolutionary principles to prolong tumor control in preclinical models of breast cancer
- (2016) Pedro M. Enriquez-Navas et al. Science Translational Medicine
- An Evolutionary Model of Tumor Cell Kinetics and the Emergence of Molecular Heterogeneity Driving Gompertzian Growth
- (2016) Jeffrey West et al. SIAM REVIEW
- Application of Evolutionary Principles to Cancer Therapy
- (2015) P. M. Enriquez-Navas et al. CANCER RESEARCH
- Analyzing the quality robustness of chemotherapy plans with respect to model uncertainties
- (2015) Anna Hoffmann et al. MATHEMATICAL BIOSCIENCES
- The value of monitoring to control evolving populations
- (2015) Andrej Fischer et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The replicator equation and other game dynamics
- (2014) R. Cressman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Accurate state estimation from uncertain data and models: an application of data assimilation to mathematical models of human brain tumors
- (2012) Eric J Kostelich et al. Biology Direct
- Evolutionary Dynamics in Cancer Therapy
- (2011) Jessica J. Cunningham et al. MOLECULAR PHARMACEUTICS
- Adaptive Therapy
- (2009) R. A. Gatenby et al. CANCER RESEARCH
- Drug interactions and the evolution of antibiotic resistance
- (2009) Pamela J. Yeh et al. NATURE REVIEWS MICROBIOLOGY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More