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Displaying 81 –
100 of
150
Despite recent advances, treatment of patients with aggressive Non-Hodgkin's
lymphoma (NHL2) has yet to be optimally designed. Notwithstanding the contribution of
molecular treatments, intensification of chemotherapeutic regimens may still be beneficial.
Hoping to aid in the design of intensified chemotherapy, we put forward a mathematical
and computational model that analyses the effect of Doxorubicin on NHL over a wide
range of patho-physiological conditions. The model represents tumour growth...
When invading the tissue, malignant tumour cells (i.e. cancer cells) need to detach from
neighbouring cells, degrade the basement membrane, and migrate through the extracellular
matrix. These processes require loss of cell-cell adhesion and enhancement of cell-matrix
adhesion. In this paper we present a mathematical model of an intracellular pathway for
the interactions between a cancer cell and the extracellular matrix. Cancer cells use
similar...
This paper proposes a stochastic diffusion model for the spread of a susceptible-infective-removed Kermack–McKendric epidemic (M1) in a population which size is a martingale that solves the Engelbert–Schmidt stochastic differential equation (). The model is given by the stochastic differential equation (M2) or equivalently by the ordinary differential equation (M3) whose coefficients depend on the size . Theorems on a unique strong and weak existence of the solution to (M2) are proved and computer...
This paper proposes a deterministic model for the spread of an epidemic. We extend the classical Kermack–McKendrick model, so that a more general contact rate is chosen and a vaccination added. The model is governed by a differential equation (DE) for the time dynamics of the susceptibles, infectives and removals subpopulation. We present some conditions on the existence and uniqueness of a solution to the nonlinear DE. The existence of limits and uniqueness of maximum of infected individuals are...
We introduce the concept of mean-field optimal control which is the rigorous limit process connecting finite dimensional optimal control problems with ODE constraints modeling multi-agent interactions to an infinite dimensional optimal control problem with a constraint given by a PDE of Vlasov-type, governing the dynamics of the probability distribution of interacting agents. While in the classical mean-field theory one studies the behavior of a large number of small individuals freely interacting...
We present and compare two simple models of immune system and cancer cell interactions. The first model reflects simple cancer disease progression and serves as our "control" case. The second describes the progression of a cancer disease in the case of a patient infected with the HIV-1 virus.
Solid tumors and hematological cancers contain small population of tumor cells that are
believed to play a critical role in the development and progression of the disease. These
cells, named Cancer Stem Cells (CSCs), have been found in leukemia, myeloma, breast,
prostate, pancreas, colon, brain and lung cancers. It is also thought that CSCs drive the
metastatic spread of cancer. The CSC compartment features a specific and phenotypically
defined cell...
We consider an ecosystem in which
spiders may be transported by the wind from vineyards into the
surrounding woods and vice versa. The model takes into account
this tranport phenomenon without building space explicitly into
the governing equations. The equilibria of the dynamical system
are analyzed together with their stability, showing that
bifurcations may occur. Then the effects of indiscriminated
spraying to keep pests under control is also investigated via
suitable simulations.
Tuberculosis (TB) is the leading cause of death among individuals infected with the
hepatitis B virus (HBV). The study of the joint dynamics of HBV and TB present formidable
mathematical challenges due to the fact that the models of transmission are quite
distinct. We formulate and analyze a deterministic mathematical model which incorporates
of the co-dynamics of hepatitis B and tuberculosis. Two sub-models, namely: HBV-only and
TB-only sub-models...
Low dimensional ODE approximations that capture the main characteristics of SIS-type epidemic propagation along a cycle graph are derived. Three different methods are shown that can accurately predict the expected number of infected nodes in the graph. The first method is based on the derivation of a master equation for the number of infected nodes. This uses the average number of SI edges for a given number of the infected nodes. The second approach is based on the observation that the epidemic...
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