Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ariel, Farkash"'
Autor:
Ariel Farkash, Amit Gordon, Rephael Mohr, Orr Sela, Dmitri Pevni, Tomer Ziv-Baran, Ayelet Grupper, Jonathan E. Kfir, Yanai Ben-Gal
Publikováno v:
PLoS ONE, Vol 19, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/faf3dd05a49f480da2bcd43cb0002873
Autor:
Ofer Havakuk, Aviram Hochstadt, Sapir Sadon, Michal Laurel Perl, Ben Sadeh, Assi Milwidsky, Orly Ran Sapir, Yoav Granot, Lior Lupu, Erez Levi, Ariel Farkash, Yanai Ben Gal, Shmuel Banai, Yan Topilsky
Publikováno v:
ESC Heart Failure, Vol 10, Iss 1, Pp 601-615 (2023)
Abstract Aims Clinical trials comparing LVADs vs. conservative therapy were performed before the availability of novel medications or used suboptimal medical therapy. This study aimed to report that long‐term stabilization of patients entering a le
Externí odkaz:
https://doaj.org/article/f753e79667854cd7b7a2a1724d9f7fd2
Autor:
Michal Fertouk, Amit Gordon, Dmitry Pevni, Tomer Ziv-Baran, Orr Sela, Rephael Mohr, Ariel Farkash, Amir Kramer, Nadav Teich, Nachum Nesher, Yanai Ben-Gal
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
Objective The optimal surgical approach for critically ill patients with complex coronary disease remains uncertain. We compared outcomes of bilateral internal thoracic artery (BITA) versus single ITA (SITA) revascularization in critical patients. Me
Externí odkaz:
https://doaj.org/article/b9205b630ea440128792c8e55163101c
Autor:
Ofer, Havakuk, Aviram, Hochstadt, Sapir, Sadon, Michal, Laurel Perl, Ben, Sadeh, Assi, Milwidsky, Orly, Ran Sapir, Yoav, Granot, Lior, Lupu, Erez, Levi, Ariel, Farkash, Yanai, Ben Gal, Shmuel, Banai, Yan, Topilsky
Publikováno v:
ESC Heart Failure. 10:601-615
Clinical trials comparing LVADs vs. conservative therapy were performed before the availability of novel medications or used suboptimal medical therapy. This study aimed to report that long-term stabilization of patients entering a left ventricular a
Publikováno v:
Journal of Cardiac Surgery. 36:551-557
BACKGROUND Although bilateral internal thoracic artery (BITA) grafting is associated with improved survival, many surgeons are reluctant to use this technique, especially in female patients, due to its greater complexity and potential increased risk
Publikováno v:
Studies in health technology and informatics. 294
Regulations set out strict restrictions on processing personal data. ML models must also adhere to these restrictions, as it may be possible to infer personal information from trained models. In this paper, we demonstrate the use of two novel AI Priv
Regulations set out strict restrictions on processing personal data. ML models must also adhere to these restrictions, as it may be possible to infer personal information from trained models. In this paper, we demonstrate the use of two novel AI Priv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86490a1f596325fd80b51523d657252c
https://doi.org/10.3233/shti220410
https://doi.org/10.3233/shti220410
Autor:
Nava Siegelmann-Danieli, Ariel Farkash, Itzhak Katzir, Janet Vesterman Landes, Hadas Rotem Rabinovich, Yossef Lomnicky, Boaz Carmeli, Naama Parush-Shear-Yashuv
Publikováno v:
PLoS ONE, Vol 11, Iss 5, p e0154689 (2016)
BACKGROUND:Randomized clinical trials constitute the gold-standard for evaluating new anti-cancer therapies; however, real-life data are key in complementing clinically useful information. We developed a computational tool for real-life data analysis
Externí odkaz:
https://doaj.org/article/3dc87e349e094ea78248044e1c406d7f
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030939434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfca835a63fcbebdbde30111968ea324
https://doi.org/10.1007/978-3-030-93944-1_8
https://doi.org/10.1007/978-3-030-93944-1_8
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030939434
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e077bffd2d45297d3531ab738b24474f
https://doi.org/10.1007/978-3-030-93944-1_10
https://doi.org/10.1007/978-3-030-93944-1_10