Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nestor Pakasa"'
Autor:
Nestor Pakasa, Asaf Biber, Samuel Nsiangana, Désiré Imposo, Ernest Sumaili, Hypolite Muhindo, Maria J. Buitrago, Iris Barshack, Eli Schwartz
Publikováno v:
Emerging Infectious Diseases, Vol 24, Iss 11, Pp 2068-2070 (2018)
We describe a case series of histoplasmosis caused by Histoplasma capsulatum var. duboisii during July 2011–January 2014 in Kimpese, Democratic Republic of the Congo. Cases were confirmed by histopathology, immunohistochemistry, and reverse transcr
Externí odkaz:
https://doaj.org/article/abddda022c6c4efd9e9277153167693c
Autor:
Joseph M Bodi, Célestin N Nsibu, Michel N Aloni, Guy N Lukute, Thomas S Kunuanuna, Pierre M Tshibassu, Nestor Pakasa
Publikováno v:
Saudi Journal of Kidney Diseases and Transplantation, Vol 25, Iss 6, Pp 1352-1358 (2014)
Acute renal failure (ARF) is reported in some severe forms of malaria such as black water fever (BWF). It is associated with a high mortality rate and can be managed effectively with adequate renal replacement. A prospective survey of children with d
Externí odkaz:
https://doaj.org/article/009e48e34ced4d7e8f483a73b7eeaa2d
Autor:
François Beya Kabongo, Nestor Pakasa Muyulu, Renault Kambere Sitwaminya, Michèle Nicaise, Alex Mutombo Baleka, Jean-Claude Kajimina Katumbayi, Raphaël Chirimwami Bulakali, Olive Kisile Mikwo, Pius Kabututu Zakayi, Jean-Marie Kabongo Mpolesha, Bienvenu Lebwaze Massamba
Publikováno v:
Gynécologie, obstétrique, fertilité & sénologie, Vol. 50, no.1, p. 53-61 (2022)
OBJECTIF : Vu le manque de registre du cancer et de programme de dépistage à grande échelle du cancer du col utérin dans la plupart des pays africains, des modèles mathématiques sont à la base des données disponibles. Cette étude vise à cer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::36034f6b38cd7334af194b64efd78680
https://hdl.handle.net/2078.1/264366
https://hdl.handle.net/2078.1/264366
Publikováno v:
Current Opinion in Nephrology and Hypertension. 6:538-543
The value of the renal allograft biopsy has been significantly enhanced by several developments in 1997 including the following: the first convincing demonstration that molecular biology techniques can be applied to renal allograft tissue to obtain a