A theoretical quantitative model for evolution of cancer chemotherapy resistance
about
Conciliation biology: the eco-evolutionary management of permanently invaded biotic systemsIntegrated PK-PD and agent-based modeling in oncologyEstimating dose painting effects in radiotherapy: a mathematical modelCan oncology recapitulate paleontology? Lessons from species extinctionsEvolutionary medicine: its scope, interest and potentialApplying evolutionary biology to address global challenges.Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.Evolution of acquired resistance to anti-cancer therapy.The origins of cancer robustness and evolvability.Natural resistance to cancers: a Darwinian hypothesis to explain Peto's paradox.Simulating cancer growth with multiscale agent-based modelingMathematical modelling of the pathogenesis of multiple myeloma-induced bone disease.Episensitization: Defying Time's ArrowHow to Use a Chemotherapeutic Agent When Resistance to It Threatens the Patient.Cancer as a moving target: understanding the composition and rebound growth kinetics of recurrent tumors.Generalized principles of stochasticity can be used to control dynamic heterogeneityTrAp: a tree approach for fingerprinting subclonal tumor composition.Microenvironmental Niches and Sanctuaries: A Route to Acquired Resistance.A preclinical assay for chemosensitivity in multiple myeloma.Exploiting ecological principles to better understand cancer progression and treatment.Limiting the development of anti-cancer drug resistance in a spatial model of micrometastasesEvolutionary scalpels for dissecting tumor ecosystems.Emergent properties of a computational model of tumour growth.Evolution and cancer: a mathematical biology approachSpatial competition constrains resistance to targeted cancer therapy.Targeting the T-Lak cell originated protein kinase by OTS964 shrinks the size of power-law coded heterogeneous glioma stem cell populations.The effect of intrinsic and acquired resistances on chemotherapy effectiveness.Aggregation Effects and Population-Based Dynamics as a Source of Therapy Resistance in Cancer.Community interactions and spatial structure shape selection on antibiotic resistant lineages.A multi-state model of chemoresistance to characterize phenotypic dynamics in breast cancer
P2860
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P2860
A theoretical quantitative model for evolution of cancer chemotherapy resistance
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
2010年论文
@zh
2010年论文
@zh-cn
name
A theoretical quantitative model for evolution of cancer chemotherapy resistance
@en
type
label
A theoretical quantitative model for evolution of cancer chemotherapy resistance
@en
prefLabel
A theoretical quantitative model for evolution of cancer chemotherapy resistance
@en
P2860
P356
P1433
P1476
A theoretical quantitative model for evolution of cancer chemotherapy resistance
@en
P2093
Ariosto S Silva
Robert A Gatenby
P2860
P2888
P356
10.1186/1745-6150-5-25
P577
2010-04-20T00:00:00Z
P5875
P6179
1028201316