Classical mathematical models for description and prediction of experimental tumor growth
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Computational Modelling of Metastasis Development in Renal Cell CarcinomaPredictive computational modeling to define effective treatment strategies for bone metastatic prostate cancer.Proposal of a hybrid approach for tumor progression and tumor-induced angiogenesisModel-Based Tumor Growth Dynamics and Therapy Response in a Mouse Model of De Novo CarcinogenesisModel driven optimization of antiangiogenics + cytotoxics combination: application to breast cancer mice treated with bevacizumab + paclitaxel doublet leads to reduced tumor growth and fewer metastasisThe thyroid cancer policy model: A mathematical simulation model of papillary thyroid carcinoma in The U.S. population.The use of Gompertz models in growth analyses, and new Gompertz-model approach: An addition to the Unified-Richards family.Differences in predictions of ODE models of tumor growth: a cautionary example.In silico modeling for tumor growth visualizationInoculated Cell Density as a Determinant Factor of the Growth Dynamics and Metastatic Efficiency of a Breast Cancer Murine ModelIs cancer a pure growth curve or does it follow a kinetics of dynamical structural transformation?Pathological complete response and prognosis after neoadjuvant chemotherapy for HER2-positive breast cancers before and after trastuzumab era: results from a real-life cohort.Capturing the Driving Role of Tumor-Host Crosstalk in a Dynamical Model of Tumor Growth.Primary and metastatic tumor dormancy as a result of population heterogeneity.In Vivo Bioluminescence Tomography for Monitoring Breast Tumor Growth and Metastatic Spreading: Comparative Study and Mathematical Modeling.Fighting Cancer with Mathematics and Viruses.Experimental method and statistical analysis to fit tumor growth model using SPECT/CT imaging: a preclinical study.Mathematical modeling of tumor-tumor distant interactions supports a systemic control of tumor growth.Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy.Predicting Patient-Specific Radiotherapy Protocols Based on Mathematical Model Choice for Proliferation Saturation Index.Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach.Image based modeling of tumor growth.Current mathematical models for cancer drug discovery.Modeling the Relationship Between Exposure to Abiraterone and Prostate-Specific Antigen Dynamics in Patients with Metastatic Castration-Resistant Prostate Cancer.Modelling the spatiotemporal dynamics of chemovirotherapy cancer treatment.A validated, transitional and translational porcine model of hepatocellular carcinoma.Prediction of Treatment Response for Combined Chemo- and Radiation Therapy for Non-Small Cell Lung Cancer Patients Using a Bio-Mathematical Model.Numerical modeling of nanodrug distribution in tumors with heterogeneous vasculature.Mechanistic modeling quantifies the influence of tumor growth kinetics on the response to anti-angiogenic treatment.Revisiting Bevacizumab + Cytotoxics Scheduling Using Mathematical Modeling: Proof of Concept Study in Experimental Non-Small Cell Lung Carcinoma.From Experiment to Theory: What Can We Learn from Growth Curves?Fractal dimension and universality in avascular tumor growth.Dose- and time-dependence of the host-mediated response to paclitaxel therapy: a mathematical modeling approach.In silico cancer research towards 3R.Simulating and predicting cellular and in vivo responses of colon cancer to combined treatment with chemotherapy and IAP antagonist Birinapant/TL32711.Rate-based structural health monitoring using permanently installed sensors.AN EVOLUTIONARY MODEL OF TUMOR CELL KINETICS AND THE EMERGENCE OF MOLECULAR HETEROGENEITY DRIVING GOMPERTZIAN GROWTH.Mathematical Modeling Reveals the Role of Hypoxia in the Promotion of Human Mesenchymal Stem Cell Long-Term Expansion.Lessons and perspectives for applications of stochastic models in biological and cancer researchBiosynthetic energy cost for amino acids decreases in cancer evolution
P2860
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P2860
Classical mathematical models for description and prediction of experimental tumor growth
description
2014 nî lūn-bûn
@nan
2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Classical mathematical models for description and prediction of experimental tumor growth
@ast
Classical mathematical models for description and prediction of experimental tumor growth
@en
Classical mathematical models for description and prediction of experimental tumor growth
@nl
type
label
Classical mathematical models for description and prediction of experimental tumor growth
@ast
Classical mathematical models for description and prediction of experimental tumor growth
@en
Classical mathematical models for description and prediction of experimental tumor growth
@nl
prefLabel
Classical mathematical models for description and prediction of experimental tumor growth
@ast
Classical mathematical models for description and prediction of experimental tumor growth
@en
Classical mathematical models for description and prediction of experimental tumor growth
@nl
P2093
P2860
P50
P3181
P1476
Classical mathematical models for description and prediction of experimental tumor growth
@en
P2093
Amanda Tracz
Clare Lamont
Lynn Hlatky
Philip Hahnfeldt
P2860
P304
P3181
P356
10.1371/JOURNAL.PCBI.1003800
P407
P577
2014-08-28T00:00:00Z