Modeling Immunity to Malaria with an Age-Structured PDE Framework [PDF]
SIAM Journal on Applied Mathematics, 2023, 83(3); 1098 - 1125, 2021 Malaria is one of the deadliest infectious diseases globally, causing hundreds of thousands of deaths each year. It disproportionately affects young children, with two-thirds of fatalities occurring in under-fives. Individuals acquire protection from disease through repeated exposure, and this immunity plays a crucial role in the dynamics of malaria ...
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Agent-Based Modeling of Host-Pathogen Systems: The Successes and Challenges [PDF]
Information Sciences, Volume 179, Issue 10, 29 April 2009, Pages
1379-1389, 2008 Agent-based models have been employed to describe numerous processes in immunology. Simulations based on these types of models have been used to enhance our understanding of immunology and disease pathology. We review various agent-based models relevant to host-pathogen systems and discuss their contributions to our understanding of biological ...
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Augmenting adaptive immunity: progress and challenges in the quantitative engineering and analysis of adaptive immune receptor repertoires [PDF]
Mol. Syst. Des. Eng. (2019), 2019 The adaptive immune system is a natural diagnostic and therapeutic. It recognizes threats earlier than clinical symptoms manifest and neutralizes antigen with exquisite specificity. Recognition specificity and broad reactivity is enabled via adaptive B- and T-cell receptors: the immune receptor repertoire.
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Is Coronavirus-Related Research Becoming More Interdisciplinary? A Perspective of Co-occurrence Analysis and Diversity Measure of Scientific Articles [PDF]
, 2021 The outbreak of coronavirus disease 2019 (COVID-19) has had a significant repercussion on the health, economy, politics and environment, making coronavirus-related issues more complicated and difficult to solve adequately by relying on a single field. Interdisciplinary research can provide an effective solution to complex issues in the related field of
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Sensitivity analysis in an Immuno-Epidemiological Vector-Host Model [PDF]
arXiv, 2021 Sensitivity Analysis (SA) is a useful tool to measure the impact of changes in model parameters on the infection dynamics, particularly to quantify the expected efficacy of disease control strategies. SA has only been applied to epidemic models at the population level, ignoring the effect of within-host virus-with-immune-system interactions on the ...
arxiv
Interpretation of immunofluorescence slides by deep learning techniques: anti-nuclear antibodies case study [PDF]
arXiv, 2023 Nowadays, diseases are increasing in numbers and severity by the hour. Immunity diseases, affecting 8\% of the world population in 2017 according to the World Health Organization (WHO), is a field in medicine worth attention due to the high rate of disease occurrence classified under this category.
arxiv
Computational strategies for dissecting the high-dimensional complexity of adaptive immune repertoires [PDF]
, 2017 The adaptive immune system recognizes antigens via an immense array of antigen-binding antibodies and T-cell receptors, the immune repertoire. The interrogation of immune repertoires is of high relevance for understanding the adaptive immune response in disease and infection (e.g., autoimmunity, cancer, HIV).
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Clustering and Retrieval Method of Immunological Memory Cell in Clonal Selection Algorithm [PDF]
, 2018 The clonal selection principle explains the basic features of an adaptive immune response to a antigenic stimulus. It established the idea that only those cells that recognize the antigens are selected to proliferate and differentiate. This paper explains a computational implementation of the clonal selection principle that explicitly takes into ...
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Marchuk's models of infection diseases: new developments [PDF]
arXiv, 2020 We consider mathematical models of infection diseases built by G.I. Marchuk in his well known book on immunology. These models are in the form of systems of ordinary delay differential equations. We add a distributed control in one of the equations describing the dynamics of the antibody concentration rate.
arxiv
Hegemonic structure of basic, clinical and patented knowledge on Ebola research: a US army reductionist initiative [PDF]
Journal of Translational Medicine (2015) 13:124, 2016 Background: In this paper, we present an approach to understand how the basic, clinical and patent knowledge on Ebola is organized and intercommunicated and what leading factor could be shaping the evolution of the knowledge translation process for this disease.
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