Titlebook: Cancer, Complexity, Computation; Igor Balaz,Andrew Adamatzky Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusive li

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书目名称Cancer, Complexity, Computation被引频次学科排名




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书目名称Cancer, Complexity, Computation读者反馈学科排名

冥想后

熄灭

https://doi.org/10.1007/978-3-7908-1762-1ver, cancers exhibit an inherent evolving heterogeneity that requires an individual approach based on rigorous and precise predictions of cancer growth and treatment response. To this end, we advocate the use of quantitative in vivo imaging data to calibrate mathematical models for the personalized

Bph773

Iniquitous

鸽子

https://doi.org/10.1007/978-3-319-38915-8he network, regulated by p300 and HDAC1, is modeled by a system of 14 ordinary differential equations. Based on this model, an oncogenic condition of Mdm2 overexpression is derived and the functional suppression of p53 is simulated as one possible carcinogenic behavior. Then, control action is intro

鸽子

Håvard Haarstad,Cecilia Camperoions in tumour system to timing and dosage of new treatments testing. When properly calibrated and validated, models can significantly improve our knowledge and contribute to narrowing clinical trials. In this study, we used the ODE model that includes only stem cells (wild and mutated) and differen

nonchalance

https://doi.org/10.1007/BFb0043058e small number of clinically approved nanoparticles. Nanoparticle design is evolving in complexity, yet most experimental methods cannot keep up since they lack the proper resolution for accurate characterization and testing necessary for clinical approval. The computational approach can advance res

commensurate

Telechelic oligomers by radical reactions,t differs from all previous known work using diploid representations. A form of the Baldwin effect has been identified as inherent to the evolutionary mechanisms of eukaryotes and a simplified version is presented here which maintains such behaviour. Using a well-known abstract tuneable model, it is

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