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相关论文: A Growth Model for Multicellular Tumor Spheroids

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Cancer cells are widely known to be protected from apoptosis, which is a major hurdle to successful anti-cancer therapy. Over-expression of several anti-apoptotic proteins, or mutations in pro-apoptotic factors, has been recognized to…

分子网络 · 定量生物学 2010-09-14 Subhadip Raychaudhuri

We report on a simple model of spatial extend anti-tumor system with a fluctuation in growth rate, which can undergo a nonequilibrium phase transition. Three states as excited, sub-excited and non-excited states of a tumor are defined to…

生物物理 · 物理学 2009-11-11 Wei-Rong Zhong , Yuan-Zhi Shao , Zhen-Hui He

Quantitative scaling relationships among body mass, temperature and metabolic rate of organisms are still controversial, while resolution may be further complicated through the use of different and possibly inappropriate approaches to…

种群与进化 · 定量生物学 2012-10-18 Tancredi Caruso , Diego Garlaschelli , Roberto Bargagli , Peter Convey

Stem cells are characterized by their ability to self-renew, as well as to differentiate and give rise to new populations of cells. Stem cell divisions are crucial for generative processes that occur during early development, and later in…

应用统计 · 统计学 2025-08-29 Haim Bar , Huyen Nguyen , Joanne Conover

We consider a one--spatial dimensional tumour growth model [2, 3, 4] that consists of three dependent variables of space and time: volume fraction of tumour cells, velocity of tumour cells, and nutrient concentration. The model variables…

数值分析 · 数学 2020-07-01 Jerome Droniou , Neela Nataraj , Gopikrishnan Chirappurathu Remesan

Tumor growth is constrained by spatial, mechanical, and metabolic factors whose alignment progressively breaks down across cellular, mesoscopic, and tissue scales as tumors expand. We hypothesize that this misalignment drives tumors toward…

其他定量生物学 · 定量生物学 2026-01-28 Arturo Tozzi

Although the immune response is often regarded as acting to suppress tumor growth, it is now clear that it can be both stimulatory and inhibitory. The interplay between these competing influences has complex implications for tumor…

细胞行为 · 定量生物学 2013-05-17 Kathleen P. Wilkie , Philip Hahnfeldt

Mechanical models for tumor growth have been used extensively in recent years for the analysis of medical observations and for the prediction of cancer evolution based on imaging analysis. This work deals with the numerical approximation of…

数值分析 · 数学 2015-04-24 Konstantina Trivisa , Franziska Weber

In this paper, we study an optimal control problem for a nonlinear system of reaction-diffusion equations that constitutes a simplified and relaxed version of a thermodynamically consistent phase field model for tumor growth originally…

最优化与控制 · 数学 2020-08-25 Jürgen Sprekels , Fredi Tröltzsch

We analyse the asymptotic behaviour of a nonlinear mathematical model of cellular proliferation which describes the production of blood cells in the bone marrow. This model takes the form of a system of two maturity structured partial…

偏微分方程分析 · 数学 2009-04-17 Mostafa Adimy , Fabien Crauste , Laurent Pujo-Menjouet

It is known that mechanical interactions couple a cell to its neighbors, enabling a feedback loop to regulate tissue growth. However, the interplay between cell-cell adhesion strength, local cell density and force fluctuations in regulating…

软凝聚态物质 · 物理学 2020-02-12 Abdul Malmi-Kakkada , Xin Li , Sumit Sinha , D. Thirumalai

Individual resource intake rates are known to depend on both individual body size and resource availability. Here, we have developed a model to integrate these two drivers, accounting explicitly for the scaling of perceived resource…

种群与进化 · 定量生物学 2010-02-18 Alberto Basset , Francesco Paparella , Francesco Cozzoli

Organisms adapt to fluctuating environments by regulating their dynamics, and by adjusting their phenotypes to environmental changes. We model population growth using multitype branching processes in random environments, where the offspring…

概率论 · 数学 2009-12-08 Clément Dombry , Christian Mazza , Vincent Bansaye

Any process in which competing solutions replicate with errors and numbers of their copies depend on their respective fitnesses is the evolutionary optimization process. As during carcinogenesis mutated genomes replicate according to their…

种群与进化 · 定量生物学 2009-12-15 B. Brutovsky , D. Horvath

We present a simple, unified approach to determining the growth law for the characteristic length scale, $L(t)$, in the phase ordering kinetics of a system quenched from a disordered phase to within an ordered phase. This approach, based on…

凝聚态物理 · 物理学 2009-10-22 A. D. Rutenberg , A. J. Bray

Integrating experimental data into ecological models plays a central role in understanding biological mechanisms that drive tumor progression where such knowledge can be used to develop new therapeutic strategies. While the current studies…

生物物理 · 物理学 2021-04-21 Youness Azimzade , Abbas Ali Saberi , Robert A. Gatenby

Plant morphogenesis relies on dynamic growth deformations at the cell and tissue scales driven by osmotic fluxes. A mechanistic understanding of this phenomenon demands a physical framework that integrates cell imbibition, tissue mechanics,…

生物物理 · 物理学 2025-12-08 Hadrien Oliveri , Christophe Godin , Ibrahim Cheddadi

The problem of chemotherapy treatment optimization can be defined in order to minimize the size of the tumor without endangering the patient's health; therefore, chemotherapy requires to achieve a number of objectives, simultaneously. For…

神经与进化计算 · 计算机科学 2023-03-21 Mina Jafari , Behnam Ghavami , Vahid Sattari Naeini

Multidrug resistance consists of a series of genetic and epigenetic alternations that involve multifactorial and complex processes, which are a challenge to successful cancer treatments. Accompanied by advances in biotechnology and…

种群与进化 · 定量生物学 2022-04-19 Heyrim Cho , Doron Levy

A hypothesis of singleness of the growth equation for biological objects on different organizational levels and dimensional analysis are used in order to substantiate Schmalhausen's model of ontogenetic growth (the mass of a growing…

定量方法 · 定量生物学 2014-04-17 Leonid M. Martyushev , Pavel S. Terentiev
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