Based on the current understanding of the immune response, we present what we believe to be a new model of intrahost virus dynamics. The model takes into account the relationship between virus replication rate and the level of antigen displayed by infected cells, and shows how the cell-directed immune response controls both virus load and virus replication rate. In contrast to conventional wisdom, it shows that the predominant virus variant does not necessarily have the highest replication rate. A strong immune response produces a selective advantage for latent viruses, whereas a deteriorating immune response invites in viruses of higher replication rates. The model is analysed in light of the well-studied HIV/AIDS disease progression, and ...
We develop various mathematical models of the clinical latency stage of HIV-1 infection assuming tha...
HIV-1 remains a global health challenge, with over 35 million people infected. The high rates of tur...
In this work, we explore the in vivo population dynamics of HIV with mathematical and computational ...
Based on the current understanding of the immune response, we present what we believe to be a new m...
Infections can be caused by viruses, which attack certain cells within an infected host. However, th...
A theory for the pathogenesis of human immunodeficiency virus type 1 (HIV-1) infection is presented ...
HIV infection is multi-faceted and a multi-step process. The virus-induced pathogenic mech...
In this paper, we propose and discuss a possible mechanism, which, via continuous mutations and evol...
The rate of progression of HIV disease may be substantially different among HIV-infected individuals...
Abstract: The great variability in the time between infection with HIV and the onset of AIDS has bee...
International audienceThe Human Immunodeficiency Virus (HIV) is one of the most threatening viral ag...
The human immunodeficiency virus (HIV) epidemic is far from over. Antiretroviral therapy (ART) is ef...
In this paper, we analyse mathematical models for the interaction between virus replication and immu...
This work presents major results from a novel dynamic model intended to deterministically represent ...
Models of viral population dynamics have contributed enormously to our understanding of the pathogen...
We develop various mathematical models of the clinical latency stage of HIV-1 infection assuming tha...
HIV-1 remains a global health challenge, with over 35 million people infected. The high rates of tur...
In this work, we explore the in vivo population dynamics of HIV with mathematical and computational ...
Based on the current understanding of the immune response, we present what we believe to be a new m...
Infections can be caused by viruses, which attack certain cells within an infected host. However, th...
A theory for the pathogenesis of human immunodeficiency virus type 1 (HIV-1) infection is presented ...
HIV infection is multi-faceted and a multi-step process. The virus-induced pathogenic mech...
In this paper, we propose and discuss a possible mechanism, which, via continuous mutations and evol...
The rate of progression of HIV disease may be substantially different among HIV-infected individuals...
Abstract: The great variability in the time between infection with HIV and the onset of AIDS has bee...
International audienceThe Human Immunodeficiency Virus (HIV) is one of the most threatening viral ag...
The human immunodeficiency virus (HIV) epidemic is far from over. Antiretroviral therapy (ART) is ef...
In this paper, we analyse mathematical models for the interaction between virus replication and immu...
This work presents major results from a novel dynamic model intended to deterministically represent ...
Models of viral population dynamics have contributed enormously to our understanding of the pathogen...
We develop various mathematical models of the clinical latency stage of HIV-1 infection assuming tha...
HIV-1 remains a global health challenge, with over 35 million people infected. The high rates of tur...
In this work, we explore the in vivo population dynamics of HIV with mathematical and computational ...