Zobrazeno 1 - 10
of 61
pro vyhledávání: '"A Aboutalib"'
Autor:
Hamidou Lazoumar Ramatoulaye, Aliou Sanda Abdal-Kader, Adamou Lagare, Mahamadou A Maiga, Fakani Aboutalib Aliane, François Comlan Aida Sylviane, Idi Issa, Bibata Abdou Sidikou, Garda Idé Oumarou, Ali sidiki, Zeinabou Abdou Aouta, Amina Moussa, Zeinabou Dioffo Alassan, Ibrahim Karidjo, Goni Alhassan Maman Bachir, Issifou Djibo, Salia Moussa, Ibrahim Maman Laminou, Ronan Jambou
BackgroundThe covid-19 pandemic is caused by a new corona virus called SARS Cov-2. Health care workers are particularly exposed target.Aimthis study aims to analyze the risk factors of SARS-Cov-2 infection in health workers who have been in contact w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8f1a0df09060461cce54ed2c26906320
https://doi.org/10.1101/2023.03.01.23286420
https://doi.org/10.1101/2023.03.01.23286420
Publikováno v:
Evidence Based Women's Health Journal. 11:264-272
Background: Analysis of the umbilical artery (UA) flow by means of pulsed Doppler has become a standard for antenatal care of high-risk pregnancies.Aim: The aim of the present study was to test the hypothesis that standardizing the site of sampling o
Autor:
S Mousannif, A Meftah, H Attjioui, S Mouid, A Aboutalib, Z Abderrahim, D Talhik, A Cheikh, M Bouatia
Publikováno v:
Section 4: Clinical pharmacy services.
Publikováno v:
Evidence Based Women's Health Journal. 10:239-245
Background: First trimester surgical abortion is a common obstetric procedure with some known complications.Objective: The aim of this study was to examine the incidence of major complications of first trimester surgical abortion in Ain-Shams Materni
Autor:
Shandong Wu, Margarita L. Zuley, Aly A. Mohamed, Wendie A. Berg, Sarah S. Aboutalib, Jules H. Sumkin
Publikováno v:
Clinical Cancer Research. 24:5902-5909
Purpose: False positives in digital mammography screening lead to high recall rates, resulting in unnecessary medical procedures to patients and health care costs. This study aimed to investigate the revolutionary deep learning methods to distinguish
Publikováno v:
Middle East Fertility Society Journal, Vol 23, Iss 4, Pp 292-296 (2018)
Introduction: Implantation remains the rate-limiting step for the success of in vitro fertilization (IVF). One of the proposed interventions designed to improve endometrial receptivity is physical injury to the endometrium. Aim: To determine the effe
Publikováno v:
J Digit Imaging
In this work, we assess how pre-training strategy affects deep learning performance for the task of distinguishing false-recall from malignancy and normal (benign) findings in digital mammography images. A cohort of 1303 breast cancer screening patie
Autor:
Bruno Agard, Zineb Aboutalib
Publikováno v:
International Journal of Logistics Systems and Management. 1:1
Autor:
Abdourahmane Ndong, Adja Coumba Diallo, Pape Mamadou Faye, Mamadou Ndiaye, Ahmed Diouf, Abdou Niasse, Magatte Faye, Jaafar Aboutalib Thiam, Ibrahima Souleymane Sitor Sarr, Yacine Seye, Mohamed Lamine Gueye, Ousmane Thiam, Mamadou Seck, Alpha Oumar Touré, Mamadou Cissé, Ousmane Ka, Madieng Dieng
Colonic adenomatous polyposis is defined by the presence of more than 100 polyps in the lumen of the colon or rectum. The risk of progression to a colorectal cancer is 100%. The relative rarity of this condition in sub-Saharan Africa explains the pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd0a8aad0a98f9a9809613dbf7313a44
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