Abstract Purpose of Review Human immunodeficiency virus (HIV) has infected over 36
million individuals worldwide and presents a tremendous public health concern, yet much …

Mathematical modeling is becoming established in the immunologist's toolbox as a method
to gain insight into the dynamics of the immune response and its components. No more so …

Background The presence of an asymptomatic phase in an HIV infection indicates that the
immune system can partially control the infection. Determining the immune mechanisms that …

During the past 6 years, there have been substantial advances in our understanding of
human immunodeficiency virus 1 and other viruses, such as hepatitis B virus and hepatitis C …

The new field of viral dynamics, based on within-host modeling of viral infections, began with
models of human immunodeficiency virus (HIV), but now includes many viral infections …

Primary human immunodeficiency virus (HIV) infection is characterized by an initial
exponential increase of viral load in peripheral blood reaching a peak, followed by a rapid …

HIV infection is multi-faceted and a multi-step process. The virus-induced pathogenic
mechanisms are manifold and mediated through a range of positive and negative feedback …

The interplay between immune response and HIV is intensely studied via mathematical
modeling, with significant insights but few direct answers. In this short review, we highlight …

Several studies have shown that cytotoxic T lymphocytes (CTLs) play an important role in
controlling HIV/SIV infection. Notably, the observation of escape mutants suggests a …

The dynamics between human immunodeficiency virus type 1 and the immune system have
been studied both experimentally and mathematically, exploring aspects of host adaptation …