Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics.
about
Bioinformatics for cancer immunology and immunotherapyMechanics of the brain: perspectives, challenges, and opportunitiesA review of mixed-effects models of tumor growth and effects of anticancer drug treatment used in population analysis.Predicting outcomes of prostate cancer immunotherapy by personalized mathematical modelsAddressing current challenges in cancer immunotherapy with mathematical and computational modelling.Fine-tuning anti-tumor immunotherapies via stochastic simulations.A mathematical model to elucidate brain tumor abrogation by immunotherapy with T11 target structureCellular-based immunotherapies for patients with glioblastoma multiforme.Asymptotic dynamics of some t-periodic one-dimensional model with application to prostate cancer immunotherapy.Modeling the Treatment of Glioblastoma Multiforme and Cancer Stem Cells with Ordinary Differential EquationsThe natural killer cell response and tumor debulking are associated with prolonged survival in recurrent glioblastoma patients receiving dendritic cells loaded with autologous tumor lysates.Mathematical model approach to describe tumour response in mice after vaccine administration and its applicability to immune-stimulatory cytokine-based strategiesMathematical modeling as a tool for planning anticancer therapy.Interactions between the immune system and cancer: a brief review of non-spatial mathematical models.From the evolution of toxin resistance to virtual clinical trials: the role of mathematical models in oncology.Nano to micro delivery systems: targeting angiogenesis in brain tumors.Theoretical modeling techniques and their impact on tumor immunology.Achieving graft-versus-tumor effect in brain tumor patients: from autologous progenitor cell transplant to active immunotherapy.Clinical trials in cellular immunotherapy for brain/CNS tumors.Mathematical models for translational and clinical oncology.Mathematical Models for Immunology: Current State of the Art and Future Research Directions.Employing dynamical computational models for personalizing cancer immunotherapy.Efficacy of weekly docetaxel and bevacizumab in mesenchymal chondrosarcoma: a new theranostic method combining xenografted biopsies with a mathematical modelCross-scale, cross-pathway evaluation using an agent-based non-small cell lung cancer model.Enhancing dendritic cell immunotherapy for melanoma using a simple mathematical model.Improving Bacillus Calmette-Guérin (BCG) immunotherapy for bladder cancer by adding interleukin 2 (IL-2): a mathematical model.Modeling cancer-immune responses to therapy.Chaos in a Tumor Growth Model with Delayed Responses of the Immune System
P2860
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P2860
Improving alloreactive CTL immunotherapy for malignant gliomas using a simulation model of their interactive dynamics.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Improving alloreactive CTL imm ...... of their interactive dynamics.
@en
Improving alloreactive CTL imm ...... of their interactive dynamics.
@nl
type
label
Improving alloreactive CTL imm ...... of their interactive dynamics.
@en
Improving alloreactive CTL imm ...... of their interactive dynamics.
@nl
prefLabel
Improving alloreactive CTL imm ...... of their interactive dynamics.
@en
Improving alloreactive CTL imm ...... of their interactive dynamics.
@nl
P2093
P2860
P1476
Improving alloreactive CTL imm ...... of their interactive dynamics.
@en
P2093
Natalie Kronik
Vladimir Vainstein
Yuri Kogan
P2860
P2888
P304
P356
10.1007/S00262-007-0387-Z
P577
2007-09-07T00:00:00Z