Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Saeed Amal"'
Publikováno v:
Frontiers in Radiology, Vol 4 (2024)
Externí odkaz:
https://doaj.org/article/a69b77eb983d453fbab1076d060856ae
Autor:
Govind Rajesh Mudavadkar, Mo Deng, Salah Mohammed Awad Al-Heejawi, Isha Hemant Arora, Anne Breggia, Bilal Ahmad, Robert Christman, Stephen T. Ryan, Saeed Amal
Publikováno v:
Diagnostics, Vol 14, Iss 16, p 1746 (2024)
Gastric cancer has become a serious worldwide health concern, emphasizing the crucial importance of early diagnosis measures to improve patient outcomes. While traditional histological image analysis is regarded as the clinical gold standard, it is l
Externí odkaz:
https://doaj.org/article/b2d8b4166f594e6d985813fbf9734c04
Autor:
Tanaya Kondejkar, Salah Mohammed Awad Al-Heejawi, Anne Breggia, Bilal Ahmad, Robert Christman, Stephen T. Ryan, Saeed Amal
Publikováno v:
Bioengineering, Vol 11, Iss 6, p 624 (2024)
Prostate cancer remains a prevalent health concern, emphasizing the critical need for early diagnosis and precise treatment strategies to mitigate mortality rates. The accurate prediction of cancer grade is paramount for timely interventions. This pa
Externí odkaz:
https://doaj.org/article/db01f8cf7879481e8f0b74da7e179567
Autor:
Jesutofunmi A. Omiye, Ilies Ghanzouri, Ivan Lopez, Fudi Wang, John Cabot, Saeed Amal, Jianqin Ye, Nicolas Gabriel Lopez, Faatihat Adebayo-Tijani, Elsie Gyang Ross
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/a35042f2c6bd43198a4a3af8e6d42258
Publikováno v:
Frontiers in Radiology, Vol 3 (2024)
Data for healthcare is diverse and includes many different modalities. Traditional approaches to Artificial Intelligence for cardiovascular disease were typically limited to single modalities. With the proliferation of diverse datasets and new method
Externí odkaz:
https://doaj.org/article/2f33561be0f74264976bc23bec90d8dc
Publikováno v:
JMIR Cardio, Vol 7, p e44732 (2023)
BackgroundPeripheral arterial disease (PAD) is underdiagnosed, partially due to a high prevalence of atypical symptoms and a lack of physician and patient awareness. Implementing clinical decision support tools powered by machine learning algorithms
Externí odkaz:
https://doaj.org/article/4450421045bc45f2a7318e525752bbc2
Autor:
Saeed Amal, Lida Safarnejad, Jesutofunmi A. Omiye, Ilies Ghanzouri, John Hanson Cabot, Elsie Gyang Ross
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 9 (2022)
Today's digital health revolution aims to improve the efficiency of healthcare delivery and make care more personalized and timely. Sources of data for digital health tools include multiple modalities such as electronic medical records (EMR), radiolo
Externí odkaz:
https://doaj.org/article/2557f32702a846b3befc364cd6d06f1b
Autor:
Babiker Rasha, Merghani Tarig H, Elmusharaf Khalifa, Badi Rehab M, Lang Florian, Saeed Amal M
Publikováno v:
Nutrition Journal, Vol 11, Iss 1, p 111 (2012)
Abstract Background Gum Arabic (acacia Senegal) is a complex polysaccharide indigestible to both humans and animals. It has been considered as a safe dietary fiber by the United States, Food and Drug Administration (FDA) since the 1970s. Although its
Externí odkaz:
https://doaj.org/article/8b4acf0317e04829aa1b7cc4cd429c9b
Autor:
Nasir Omaima, Kempe Daniela, Föller Michael, Qadri Syed M, Bobbala Diwakar, Ballal Adil, Saeed Amal, Lang Florian
Publikováno v:
Malaria Journal, Vol 10, Iss 1, p 139 (2011)
Abstract Background Gum Arabic (GA), a nonabsorbable nutrient from the exudate of Acacia senegal, exerts a powerful immunomodulatory effect on dendritic cells, antigen-presenting cells involved in the initiation of both innate and adaptive immunity.
Externí odkaz:
https://doaj.org/article/86e0bc938f3d443e8b9c35746f50d56f
Publikováno v:
In Scientific African November 2021 14