Towards predictive computational models of oncolytic virus therapy: basis for experimental validation and model selection.
about
Complex spatial dynamics of oncolytic viruses in vitro: mathematical and experimental approaches.Mathematical model for radial expansion and conflation of intratumoral infectious centers predicts curative oncolytic virotherapy parameters.Differences in predictions of ODE models of tumor growth: a cautionary example.Perfusion Pressure Is a Critical Determinant of the Intratumoral Extravasation of Oncolytic VirusesInfectio: a Generic Framework for Computational Simulation of Virus Transmission between Cells.Mathematical modeling as a tool for planning anticancer therapy.Activation of intestinal peroxisome proliferator-activated receptor-α increases high-density lipoprotein production.Optimization and preclinical design of genetically engineered viruses for human oncolytic therapy.Modeling T cell responses to antigenic challenge.Fighting Cancer with Mathematics and Viruses.Computational modeling approaches to the dynamics of oncolytic viruses.Isolation of more potent oncolytic paramyxovirus by bioselection.Dynamics of melanoma tumor therapy with vesicular stomatitis virus: explaining the variability in outcomes using mathematical modeling.ODE models for oncolytic virus dynamics.Modelling the spatiotemporal dynamics of chemovirotherapy cancer treatment.Hybrid multiscale modeling and prediction of cancer cell behaviorOn the laws of virus spread through cell populations.Oncolytic potency and reduced virus tumor-specificity in oncolytic virotherapy. A mathematical modelling approach.Evolutionary dynamics of giant viruses and their virophages.Multi-stability and multi-instability phenomena in a mathematical model of tumor-immune-virus interactions.The Role of the Innate Immune System in Oncolytic Virotherapy.Questing for an optimal, universal viral agent for oncolytic virotherapy.Imaging, Tracking and Computational Analyses of Virus Entry and Egress with the Cytoskeleton.
P2860
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P2860
Towards predictive computational models of oncolytic virus therapy: basis for experimental validation and model selection.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Towards predictive computation ...... alidation and model selection.
@ast
Towards predictive computation ...... alidation and model selection.
@en
type
label
Towards predictive computation ...... alidation and model selection.
@ast
Towards predictive computation ...... alidation and model selection.
@en
prefLabel
Towards predictive computation ...... alidation and model selection.
@ast
Towards predictive computation ...... alidation and model selection.
@en
P2860
P1433
P1476
Towards predictive computation ...... alidation and model selection.
@en
P2093
Dominik Wodarz
Natalia Komarova
P2860
P356
10.1371/JOURNAL.PONE.0004271
P407
P577
2009-01-30T00:00:00Z