The three phases of the macroscopic evolution of the HIV infection are well known, but it is still difficult to understand how the cellular-level interactions come together to create this characteristic pattern and, in particular, why there are such differences in individual responses. An 'agent-based' approach is chosen as a means of inferring high-level behaviour from a small set of interaction rules at the cellular level. Here the emphasis is on cell mobility and viral mutations
A stochastic cellular automata (SCA) approach is introduced to study the effect of viral mutation on...
<p>(A): The <i>in silico</i> experiments are performed in a 3-dimensional ellipsoidal lattice. The l...
In order to understand the evolution of cell population in an early HIV infection (AIDS), a network ...
The three phases of the macroscopic evolution of the HIV infection are well known, but it is still d...
The three phases of the macroscopic evolution of the HIV infection are well-known, but it is still d...
This study focuses on examining why the range of experience with respect to HIV infection is so dive...
This study focuses on trying to understand why the range of experience with respect to HIV infection...
This paper proposes a Multi-Agents Model to simulate the phenomenon of the infection by the human im...
Researchers of HIV-1 are today, still unable to determine exactly the biological mechanisms that cau...
A network model of interacting cellular elements, such as macrophages, viruses, T4 cells, and T8 cel...
A network model of interacting cellular elements, such as macrophages, viruses, T4 cells, and T8 cel...
The models presented are discrete Monte Carlo(MC) and Cellular Automata(CA) representations of the i...
This research presents an agent-based, bottom-up mod-elling approach to develop a simulation tool fo...
A fuzzy set of 10 interactions for macrophages, helper cells, cytotoxic cells, and virion is introdu...
We use a cellular automata model to study the evolution of human immunodeficiency virus (HIV) infect...
A stochastic cellular automata (SCA) approach is introduced to study the effect of viral mutation on...
<p>(A): The <i>in silico</i> experiments are performed in a 3-dimensional ellipsoidal lattice. The l...
In order to understand the evolution of cell population in an early HIV infection (AIDS), a network ...
The three phases of the macroscopic evolution of the HIV infection are well known, but it is still d...
The three phases of the macroscopic evolution of the HIV infection are well-known, but it is still d...
This study focuses on examining why the range of experience with respect to HIV infection is so dive...
This study focuses on trying to understand why the range of experience with respect to HIV infection...
This paper proposes a Multi-Agents Model to simulate the phenomenon of the infection by the human im...
Researchers of HIV-1 are today, still unable to determine exactly the biological mechanisms that cau...
A network model of interacting cellular elements, such as macrophages, viruses, T4 cells, and T8 cel...
A network model of interacting cellular elements, such as macrophages, viruses, T4 cells, and T8 cel...
The models presented are discrete Monte Carlo(MC) and Cellular Automata(CA) representations of the i...
This research presents an agent-based, bottom-up mod-elling approach to develop a simulation tool fo...
A fuzzy set of 10 interactions for macrophages, helper cells, cytotoxic cells, and virion is introdu...
We use a cellular automata model to study the evolution of human immunodeficiency virus (HIV) infect...
A stochastic cellular automata (SCA) approach is introduced to study the effect of viral mutation on...
<p>(A): The <i>in silico</i> experiments are performed in a 3-dimensional ellipsoidal lattice. The l...
In order to understand the evolution of cell population in an early HIV infection (AIDS), a network ...