A
Ahmed Badawy
Researcher at Polytechnic University of Turin
Publications - 162
Citations - 4986
Ahmed Badawy is an academic researcher from Polytechnic University of Turin. The author has contributed to research in topics: Polycystic ovary & Infertility. The author has an hindex of 34, co-authored 150 publications receiving 4317 citations. Previous affiliations of Ahmed Badawy include Royal Free Hospital & Carnegie Mellon University.
Papers
More filters
Journal ArticleDOI
Treatment options for polycystic ovary syndrome.
Ahmed Badawy,Abubaker Elnashar +1 more
TL;DR: Alternative medicine has been emerging as one of the commonly practiced medicines for different health problems, including PCOS, which underlines the contribution to the treatment of different symptoms.
Journal ArticleDOI
Gonadotropin-releasing hormone agonists for prevention of chemotherapy-induced ovarian damage: prospective randomized study
TL;DR: GnRHa administration before and during combination chemotherapy for breast cancer may preserve posttreatment ovarian function in women <40 years, and long-term studies are required.
Journal ArticleDOI
Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey
TL;DR: A comprehensive survey of SHM using WSNs is presented outlining the algorithms used in damage detection and localization, outlining network design challenges, and future research directions.
Journal ArticleDOI
2500 Outpatient diagnostic hysteroscopies
TL;DR: Outpatient diagnostic hysteroscopy is both feasible and acceptable in the overwhelming majority of cases, with a high detection rate for intrauterine pathology.
Journal ArticleDOI
Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions
Reza Shakeri,Mohammed Ali Al-Garadi,Ahmed Badawy,Amr Mohamed,Tamer Khattab,Abdulla Al-Ali,Khaled A. Harras,Mohsen Guizani +7 more
TL;DR: This survey aims to pinpoint the most fundamental and important design challenges of multi-UAV systems for CPS applications, highlighting key and versatile aspects that span the coverage and tracking of targets and infrastructure objects, energy-efficient navigation, and image analysis using machine learning for fine-grained CPS applications.