Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lynda Kadi"'
Autor:
Anass Benomar, MD, MSc, Abdelhakim Khellaf, MD, Lynda Kadi, MD, José Ferreira, MD, Pascal Lavergne, MD, François Bergeron, MD, Mathieu Laroche, MD, MSc
Publikováno v:
Radiology Case Reports, Vol 19, Iss 11, Pp 4751-4754 (2024)
Ependymomas are rare nervous system tumors that can arise anywhere in the neuraxis. While having a high propensity for leptomeningeal dissemination, retrograde dissemination (from the spine to the CNS) remains infrequent. We describe the case of a 31
Externí odkaz:
https://doaj.org/article/5bd16e7f11a94acbaf0ae4444c4d2104
Autor:
Wokem Gloria Ngozika, Konne Oroma Ethel, Jonathan Nyebuchi, Moore-Igwe Beatrice Wobiarueri, Giami Lynda Kadi, Konne Felix Eedee
Publikováno v:
Journal of Advances in Microbiology. :58-62
Studies have shown that pregnant women are vulnerable to malaria parasitemia. Unfortunately, less attention has been paid to the effect of age group on malaria parasitemia among this group of subjects. The aim of this study was to determine the most
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28e0d3ee24916e9461c7af535d0bbfa9
https://doi.org/10.9734/jamb/2022/v22i330446
https://doi.org/10.9734/jamb/2022/v22i330446
Autor:
Pius, Monsi Tombari, Egeolu, Miriam Nkiruka, Smart Enoch Amala, Giami, Lynda Kadi, Abbey, Samuel Douglas
Herbal drugs which are used as alternative sources of medicine interact with gut microbiota where the pH conditions vary from an acidic pH in the stomach to a more alkaline pH in the large intestine. This study aimed to evaluate the effect of differe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::14138e8ac863a02d5ba61d2bcc5c5280
Autor:
Almudena Pérez-Lara, Avishek Chatterjee, Jeffrey Chankowsky, Yoshiko Ueno, Maryam Bayat, Griselda Romero-Sanchez, Jan Seuntjens, James W. M. Alexander, Caroline Reinhold, Lynda Kadi, Reza Forghani, Behzad Forghani
Publikováno v:
European radiology. 29(11)
This study was conducted in order to evaluate a novel risk stratification model using dual-energy CT (DECT) texture analysis of head and neck squamous cell carcinoma (HNSCC) with machine learning to (1) predict associated cervical lymphadenopathy and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20c77295c6a873162e749cedc5e8ec16
https://pubmed.ncbi.nlm.nih.gov/30980127
https://pubmed.ncbi.nlm.nih.gov/30980127