Results 91 to 100 of about 5,295,791 (325)

A single site for N-linked glycosylation in the envelope glycoprotein of feline immunodeficiency virus modulates the virus-receptor interaction [PDF]

open access: yes, 2008
Feline immunodeficiency virus (FIV) targets helper T cells by attachment of the envelope glycoprotein (Env) to CD134, a subsequent interaction with CXCR4 then facilitating the process of viral entry.
Hosie, Margaret J.   +4 more
core   +3 more sources

The Effects of Latent Infection on the Dynamics of HIV [PDF]

open access: yesDifferential Equations and Dynamical Systems, 3, 2016, 2013
One way in which the human immunodeficiency virus (HIV-1) replicates within a host is by infecting activated CD4+ T-cells, which then produce additional copies of the virus. Even with the introduction of antiretroviral drug therapy, which has been very successful over the past decade, a large obstacle to the complete eradication of the virus is the ...
arxiv   +1 more source

Primary Immunodeficiencies [PDF]

open access: yes, 2008
Primary immunodeficiencies (PIDs), once considered to be very rare, are now increasingly recognized because of growing knowledge in the immunological field and the availability of more sophisticated diagnostic techniques and therapeutic modalities [161].
openaire   +1 more source

Two-dimensional stability analysis in a HIV model with quadratic logistic growth term [PDF]

open access: yesarXiv, 2012
We consider a Human Immunodeficiency Virus (HIV) model with a logistic growth term and continue the analysis of the previous article [6]. We now take the viral diffusion in a two-dimensional environment. The model consists of two ODEs for the concentrations of the target T cells, the infected cells, and a parabolic PDE for the virus particles. We study
arxiv  

Short-course antiretroviral therapy in primary HIV infection [PDF]

open access: yes, 2013
Background Short-course antiretroviral therapy (ART) in primary human immunodeficiency virus (HIV) infection may delay disease progression but has not been adequately evaluated.
Babiker, Abdel   +20 more
core   +1 more source

Primary immunodeficiency for the primary care provider [PDF]

open access: yesPaediatrics & Child Health, 2016
Primary immunodeficiencies are a group of heterogeneous disorders resulting from defects affecting the function of ≥1 parts of the immune system. Current estimates of the prevalence of primary immunodeficiency disease are one in 1200 patients. In Ontario, where the average general practitioner follows 1300 to 2000 patients, an estimated two patients ...
Moshe Ben-Shoshan   +3 more
openaire   +4 more sources

Calculation of a Primary Immunodeficiency “Risk Vital Sign” via Population-Wide Analysis of Claims Data to Aid in Clinical Decision Support

open access: yesFrontiers in Pediatrics, 2019
Background: Early diagnosis of primary immunodeficiency disease leads to reductions in illness and decreased healthcare costs. Analysis of electronic health record data may allow for identification of persons at risk of host-defense impairments from ...
N. Rider   +7 more
semanticscholar   +1 more source

The role of the chemokine receptor CXCR4 in infection with feline immunodeficiency virus [PDF]

open access: yes, 1999
Infection with feline immunodeficiency virus (FIV) leads to the development of a disease state similar to AIDS in man. Recent studies have identified the chemokine receptor CXCR4 as the major receptor for cell culture-adapted strains of FIV, suggesting ...
Ackley C. D.   +50 more
core   +1 more source

An investigation of the breadth of neutralising antibody response in cats naturally infected with feline immunodeficiency virus [PDF]

open access: yes, 2015
Neutralising antibodies (NAbs) are believed to comprise an essential component of the protective immune response induced by vaccines against FIV and HIV infections.
Beczkowski, Pawel   +5 more
core   +2 more sources

Random forests for high-dimensional longitudinal data [PDF]

open access: yesarXiv, 2019
Random forests is a state-of-the-art supervised machine learning method which behaves well in high-dimensional settings although some limitations may happen when $p$, the number of predictors, is much larger than the number of observations $n$. Repeated measurements can help by offering additional information but no approach has been proposed for high ...
arxiv  

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