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Sepsis is a potentially life threatening inflammatory response to infection or severe tissue damage. It has a highly variable clinical course, requiring constant monitoring of the patient's state to guide the management of intravenous…

机器学习 · 计算机科学 2022-02-21 Thesath Nanayakkara , Gilles Clermont , Christopher James Langmead , David Swigon

Apoptosis is an important area of research because of its role in keeping a mature multicellular organism's number of cells constant hence, ensuring that the organism does not have cell accumulation that may transform into cancer with…

分子网络 · 定量生物学 2010-10-01 Elife Zerrin Bagci , Sercan Murat Sen , Mehmet Cihan Camurdan

We consider two minimal mathematical models for cancer dynamics and self-adaptation. We aim to capture the interplay between the rapid progression of cancer growth and the possibility to leverage and enhance self-adaptive defense mechanisms…

适应与自组织系统 · 物理学 2025-03-27 Christian Kuehn

We present a mathematical study for the development of multiple sclerosis based on a reaction-diffusion system. The model describes interactions among different populations of human cells, motion of immune cells stimulated by cytokines,…

组织与器官 · 定量生物学 2026-01-07 Romina Travaglini

A major contribution to the onset and development of autoimmune disease is known to come from infections. An important practical problem is identifying the precise mechanism by which the breakdown of immune tolerance as a result of immune…

定量方法 · 定量生物学 2018-05-21 F. Fatehi Chenar , Y. N. Kyrychko , K. B. Blyuss

Several studies suggest that one possible cause of impaired wound healing is failed or insufficient lymphangiogenesis, that is the formation of new lymphatic capillaries. Although many mathematical models have been developed to describe the…

组织与器官 · 定量生物学 2015-01-05 Arianna Bianchi , Kevin J. Painter , Jonathan A. Sherratt

A reaction-diffusion model of receptor-toxin-antibody (RTA) interaction is studied numerically. The protective properties of an antibody against a given toxin are evaluated for a spherical cell placed into a toxin-antibody solution. The…

细胞行为 · 定量生物学 2012-06-06 P. Katauskis , P. Skakauskas , A. Skvortsov

We address the estimation of endogenous treatment models with social interactions in both the treatment and outcome equations. We model the interactions between individuals in an internally consistent manner via a game theoretic approach…

计量经济学 · 经济学 2024-08-27 Zhongjian Lin , Francis Vella

Chronic critical illness (CCI) is a disease state in which, following an initial insult, a patient neither recovers nor dies but instead remains in a state of critical illness. CCI is characterized by prolonged organ dysfunction, weight…

细胞行为 · 定量生物学 2025-10-01 Bryan Bailey-Feliciano , George VanVeckhoven , Youngmin Park , Yongchen Tai , Jing Pan

We develop a stochastic model to study the specific response of the immune system. The model is based on the dynamical interaction between Regulatory and Effector CD4+ T cells in the presence of Antigen Presenting Cells inside a lymphatic…

细胞行为 · 定量生物学 2011-04-29 Nuris Figueroa-Morales , Kalet León , Roberto Mulet

We present a general setting in which the formula describing the linear response of the physical measure of a perturbed system can be obtained. In this general setting we obtain an algorithm to rigorously compute the linear response. We…

动力系统 · 数学 2017-08-30 Wael Bahsoun , Stefano Galatolo , Isaia Nisoli , Xiaolong Niu

Treatment-related lymphopenia is a frequent and clinically significant consequence of cancer therapy that can compromise immune-mediated tumor control and worsen patient outcomes. Despite its importance, no mechanistic framework exists to…

医学物理 · 物理学 2026-05-04 Vladislav Sandul , Marco Durante , Thomas Friedrich

The theory describing action of medicines explored in this paper is based on assumption that vital activity of the cell may be described in terms of the model of two states: resting state and excitation. According to available physiological…

生物物理 · 物理学 2012-08-21 V. V. Matveev , D. V. Prokhorenko

We deal with a small enough tumor section to consider it homogeneous, such that populations of lymphocytes and cancer cells are independent of spatial coordinates. A stochastic model based in one step processes is developed to take into…

Spatial interactions between cancer and immune cells, as well as the recognition of tumour antigens by cells of the immune system, play a key role in the immune response against solid tumours. The existing mathematical models generally…

细胞行为 · 定量生物学 2019-08-05 Fiona R Macfarlane , Mark AJ Chaplain , Tommaso Lorenzi

Following antigen stimulation, the net outcomes of a T cell response are shaped by integrated signals from both positive co-stimulatory and negative regulatory molecules. Recently, the blockade of negative regulatory molecules (i.e. immune…

细胞行为 · 定量生物学 2017-09-19 Haidong Dong , Yiyi Yan , Roxana S. Dronca , Svetomir N. Markovic

Reactive hyperemia is a well-established technique for the non-invasive evaluation of the peripheral microcirculatory function, measured as the magnitude of limb re-perfusion after a brief period of ischemia. Despite widespread adoption by…

组织与器官 · 定量生物学 2023-02-03 Albertoo Coccarelli , Michael D. Nelson

Simple ideas, endowed from the mathematical theory of control, are used in order to analyze in general grounds the human immune system. The general principles are minimization of the pathogen load and economy of resources. They should…

组织与器官 · 定量生物学 2016-07-12 Augusto Gonzalez

In recent in vitro experiments on co-culture between breast tumour spheroids and activated immune cells, it was observed that the introduction of the stress hormone cortisol resulted in a decreased immune cell infiltration into the…

We develop a theoretical approach that uses physiochemical kinetics modelling to describe cell population dynamics upon progression of viral infection in cell culture, which results in cell apoptosis (programmed cell death) and necrosis…

定量方法 · 定量生物学 2016-12-30 Sergii Domanskyi , Joshua E. Schilling , Vyacheslav Gorshkov , Sergiy Libert , Vladimir Privman