Zobrazeno 1 - 10
of 1 313
pro vyhledávání: '"Mathieu, N"'
Autor:
Marc K. Yambayamba, Eric K. Kazadi, Belinda M. Ayumuna, Paulin M. Kapepula, Mathieu N. Kalemayi, Didier M. Kangudie, Justin Masumu, Boka O. Marcel, Serge T. Nzietchueng, Chloe Clifford Astbury, Tarra L. Penney, Nadège K. Ngombe, Simon R. Rüegg
Publikováno v:
One Health, Vol 19, Iss , Pp 100934- (2024)
Background: The Democratic Republic of Congo (DRC) has faced emerging infectious diseases such as Ebola, Mpox and Yellow fever, and antimicrobial resistance is a growing concern. To address these issues, in 2011 the country embarked on implementing t
Externí odkaz:
https://doaj.org/article/44f78573b51642bc9a991be456606655
Autor:
Yambayamba, Marc K., Kazadi, Eric K., Ayumuna, Belinda M., Kapepula, Paulin M., Kalemayi, Mathieu N., Kangudie, Didier M., Masumu, Justin, Marcel, Boka O., Nzietchueng, Serge T., Astbury, Chloe Clifford, Penney, Tarra L., Ngombe, Nadège K., Rüegg, Simon R.
Publikováno v:
In One Health December 2024 19
Publikováno v:
In Journal of Gynecology Obstetrics and Human Reproduction October 2024 53(8)
Autor:
Sebastian Freilinger, Harald Kaemmerer, Robert D. Pittrow, Stefan Achenbach, Stefan Baldus, Oliver Dewald, Peter Ewert, Annika Freiberger, Matthias Gorenflo, Frank Harig, Christopher Hohmann, Stefan Holdenrieder, Jürgen Hörer, Michael Huntgeburth, Michael Hübler, Niko Kohls, Frank Klawonn, Rainer Kozlik-Feldmann, Renate Kaulitz, Dirk Loßnitzer, Friedrich Mellert, Nicole Nagdyman, Johannes Nordmeyer, Benjamin A. Pittrow, Leonard B. Pittrow, Carsten Rickers, Stefan Rosenkranz, Jörg Schelling, Christoph Sinning, Mathieu N. Suleiman, Yskert von Kodolitsch, Fabian von Scheidt, Ann-Sophie Kaemmerer-Suleiman
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-9 (2024)
Abstract Background Adults with congenital heart defects (ACHD) globally constitute a notably medically underserved patient population. Despite therapeutic advancements, these individuals often confront substantial physical and psychosocial residua o
Externí odkaz:
https://doaj.org/article/346286362cfc428283d78dfbbeca975b
Autor:
Jean-Baptiste K. Sékré, Mamadou Ouattara, Nana R. Diakité, Fidèle K. Bassa, Rufin K. Assaré, Jules N. Kouadio, Gaoussou Coulibaly, Agodio Loukouri, Mathieu N. Orsot, Jürg Utzinger, Eliézer K. N’Goran
Publikováno v:
Tropical Medicine and Infectious Disease, Vol 9, Iss 7, p 159 (2024)
The elimination of schistosomiasis as a public health problem by 2030 is one of the main goals put forth in the World Health Organization’s roadmap for neglected tropical diseases. This study aimed to compare different sampling approaches to guide
Externí odkaz:
https://doaj.org/article/d51fbf06ae964327844d6b1f0b949835
Autor:
Pieringer, Felix1,2 (AUTHOR), Suleiman, Mathieu N.1 (AUTHOR) mathieu.suleiman@uk-erlangen.de, Kaemmerer-Suleiman, Ann-Sophie1 (AUTHOR), Dewald, Oliver1 (AUTHOR), Freiberger, Annika2 (AUTHOR), Huntgeburth, Michael2 (AUTHOR), Nagdyman, Nicole2 (AUTHOR), Neidenbach, Rhoia2,3 (AUTHOR), von Scheidt, Fabian2 (AUTHOR), Kaemmerer, Harald2 (AUTHOR), Ewert, Peter2 (AUTHOR), Weyand, Michael1 (AUTHOR), Freilinger, Sebastian2,3 (AUTHOR), Harig, Frank1 (AUTHOR)
Publikováno v:
Journal of Clinical Medicine. Apr2024, Vol. 13 Issue 7, p2062. 14p.
Autor:
Rieke, Nicola, Hancox, Jonny, Li, Wenqi, Milletari, Fausto, Roth, Holger, Albarqouni, Shadi, Bakas, Spyridon, Galtier, Mathieu N., Landman, Bennett, Maier-Hein, Klaus, Ourselin, Sebastien, Sheller, Micah, Summers, Ronald M., Trask, Andrew, Xu, Daguang, Baust, Maximilian, Cardoso, M. Jorge
Publikováno v:
npj Digital Medicine volume 3, Article number: 119 (2020)
Data-driven Machine Learning has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by M
Externí odkaz:
http://arxiv.org/abs/2003.08119
Autor:
Nag, Amitabh, Cummins, Kenneth L., Plaisir, Mathieu N., Brown, Robert G., Wilson, Jennifer G., Crawford, David E., Noggle, R. Carl, Rassoul, Hamid K.
Publikováno v:
In Atmospheric Research October 2023 294
Publikováno v:
In Cancer / Radiothérapie September 2023 27(6-7):643-647
Autor:
Galtier, Mathieu N, Marini, Camille
Machine learning is promising, but it often needs to process vast amounts of sensitive data which raises concerns about privacy. In this white-paper, we introduce Substra, a distributed framework for privacy-preserving, traceable and collaborative Ma
Externí odkaz:
http://arxiv.org/abs/1910.11567