Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Rachid, Ouifki"'
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 5, Pp 4429-4457 (2022)
Combining chimeric antigen receptor T (CAR-T) cells with oncolytic viruses (OVs) has recently emerged as a promising treatment approach in preclinical studies that aim to alleviate some of the barriers faced by CAR-T cell therapy. In this study, we a
Externí odkaz:
https://doaj.org/article/1b157c9d2a8941b690bdb351eafe518a
Publikováno v:
Biomath, Vol 10, Iss 2 (2021)
In this paper, we provide a brief survey of mathematical modelling of malaria and how it is used to understand the transmission and progression of the disease and design strategies for its control to support public health interventions and decision-m
Externí odkaz:
https://doaj.org/article/aac153bc18384ad7a4f0022eae0f1190
Publikováno v:
Biomath, Vol 9, Iss 1 (2020)
The paper draws attention to the asymptomatic and mildly symptomatic cases of COVID-19, which, according to some reports, may constitute a large fraction of the infected individuals. These cases are often unreported and are not captured in the total
Externí odkaz:
https://doaj.org/article/a8f4c27e4b554ab9b8c9cc66922fbd6a
Publikováno v:
PLoS ONE, Vol 13, Iss 6, p e0198280 (2018)
A campaign for malaria control, using Long Lasting Insecticide Nets (LLINs) was launched in South Sudan in 2009. The success of such a campaign often depends upon adequate available resources and reliable surveillance data which help officials unders
Externí odkaz:
https://doaj.org/article/9f290f8d92184724aff7a4d48d632182
Publikováno v:
PLoS ONE, Vol 12, Iss 9, p e0184347 (2017)
In the present paper, we address by means of mathematical modeling the following main question: How can oncolytic virus infection of some normal cells in the vicinity of tumor cells enhance oncolytic virotherapy? We formulate a mathematical model des
Externí odkaz:
https://doaj.org/article/80bec6d7c70846e59c2bdd3b59cc4150
Publikováno v:
In BioSystems February 2013 111(2):83-101
Autor:
Rachid Ouifki, Segun I. Oke
Publikováno v:
Journal of Mathematical Biology. 84
Estrogen is known to stimulate the growth of breast cancer, but is also effective in treating the disease. This is referred to as the"estrogen paradox". Furthermore, short-term treatment with estrogen can successfully eliminate breast cancer, whereas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ecc7436f81bdca277b6dbc89af7a18e
https://doi.org/10.1007/s00285-022-01729-z
https://doi.org/10.1007/s00285-022-01729-z
Autor:
Jacek Banasiak, Rachid Ouifki
Publikováno v:
Mathematical Methods in the Applied Sciences. 43:10413-10429
The DST/NRF SARChI Chair in Mathematical Models and Methods in Biosciences and Bioengineering at the University of Pretoria and National Science Centre of Poland.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7004b47de73ddb29862921605674f869
https://doi.org/10.1002/mma.6389
https://doi.org/10.1002/mma.6389
Autor:
Matthys Kroon, Elton Dorkin, Emanuel M. Dominic, Heinrich Volmink, Wim Delva, Roxanne Beauclair, Rachid Ouifki
IntroductionFrom the beginning of the COVID-19 pandemic, epidemiological models have been used in a number of ways to aid governments and organizations in efficient planning of resources and decision making. These models have elucidated important epi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df42784cd267e72e5fe7a80b1fa675d7
https://doi.org/10.1101/2021.09.06.21263151
https://doi.org/10.1101/2021.09.06.21263151
Autor:
Noma Susan Senekal, Rachid Ouifki, Khaphetsi Joseph Mahasa, Amina Eladdadi, Lisette G de Pillis
Publikováno v:
Bulletin of Mathematical Biology. 83
In this paper, we investigate how natural killer (NK) cell recruitment to the tumor microenvironment (TME) affects oncolytic virotherapy. NK cells play a major role against viral infections. They are, however, known to induce early viral clearance of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd0a704793a7cb23e7c918a41f3b071d
https://doi.org/10.1007/s11538-021-00903-6
https://doi.org/10.1007/s11538-021-00903-6