Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Iryna Lishchuk"'
Autor:
Vasileios C. Pezoulas, Andreas Goules, Fanis Kalatzis, Luke Chatzis, Konstantina D. Kourou, Aliki Venetsanopoulou, Themis P. Exarchos, Saviana Gandolfo, Konstantinos Votis, Evi Zampeli, Jan Burmeister, Thorsten May, Manuel Marcelino Pérez, Iryna Lishchuk, Thymios Chondrogiannis, Vassiliki Andronikou, Theodora Varvarigou, Nenad Filipovic, Manolis Tsiknakis, Chiara Baldini, Michele Bombardieri, Hendrika Bootsma, Simon J. Bowman, Muhammad Shahnawaz Soyfoo, Dorian Parisis, Christine Delporte, Valérie Devauchelle-Pensec, Jacques-Olivier Pers, Thomas Dörner, Elena Bartoloni, Roberto Gerli, Roberto Giacomelli, Roland Jonsson, Wan-Fai Ng, Roberta Priori, Manuel Ramos-Casals, Kathy Sivils, Fotini Skopouli, Witte Torsten, Joel A. G. van Roon, Mariette Xavier, Salvatore De Vita, Athanasios G. Tzioufas, Dimitrios I. Fotiadis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 20, Iss , Pp 471-484 (2022)
For many decades, the clinical unmet needs of primary Sjögren’s Syndrome (pSS) have been left unresolved due to the rareness of the disease and the complexity of the underlying pathogenic mechanisms, including the pSS-associated lymphomagenesis pr
Externí odkaz:
https://doaj.org/article/b16981d4192d4498a244cd7bedcee6c8
Autor:
Nikolaus Forgó, Jeroen van den Hoven, René Louis Pierre Mahieu, Iryna Lishchuk, Francesca Pratesi, Stefanie Hänold, David van Putten, Dino Pedreschi, Anna Monreale, Tina Krügel
Publikováno v:
International Journal of Data Science and Analytics. 12:79-79
Autor:
Stefan Dietze, Yannick Rietz, Nicolas Tempelmeier, Iryna Lishchuk, Olaf Mumm, Elena Demidova, Tina Kruegel, Vanessa Miriam Carlow
Publikováno v:
WWW (Companion Volume)
With the increasing availability of mobility-related data, such as GPS-traces, Web queries and climate conditions, there is a growing demand to utilize this data to better understand and support urban mobility needs. However, data available from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08588d234bfead90e515f9910642304d
Autor:
Iryna Lishchuk
Publikováno v:
AIP Conference Proceedings.
Multiscale cancer models, implemented in silico, simulate tumor progression at various spatial and temporal scales. Having the innovative substance and possessing the potential of being applied as decision support tools in clinical practice, patentin
Publikováno v:
IARWISOI
University of Vienna-u:cris
University of Vienna-u:cris
In silico hyper-modeling is a complex process which requires interdisciplinary effort. Scientists from biology, medicine, bio-informatics, mathematics, engineering and other fields collaborate and contribute their knowledge and expertise. Researchers
Autor:
Iryna Lishchuk, Stefanie Hänold, Jeroen van den Hoven, Francesca Pratesi, René Louis Pierre Mahieu, Tina Krügel, Anna Monreale, Nikolaus Forgó, David van Putten, Dino Pedreschi
Publikováno v:
International Journal of Data Science and Analytics, 11(4)
International Journal of Data Science and Analytics
(2020). doi:10.1007/s41060-020-00211-7
info:cnr-pdr/source/autori:Forgó N.; Hänold S.; van den Hoven J.; Krügel T.; Lishchuk I.; Mahieu R.; Monreale A.; Pedreschi D.; Pratesi F.; van Putten D./titolo:An ethico-legal framework for social data science/doi:10.1007%2Fs41060-020-00211-7/rivista:International Journal of Data Science and Analytics (Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
11 (2020): 377–390. doi:10.1007/s41060-020-00211-7
International Journal of Data Science and Analytics
(2020). doi:10.1007/s41060-020-00211-7
info:cnr-pdr/source/autori:Forgó N.; Hänold S.; van den Hoven J.; Krügel T.; Lishchuk I.; Mahieu R.; Monreale A.; Pedreschi D.; Pratesi F.; van Putten D./titolo:An ethico-legal framework for social data science/doi:10.1007%2Fs41060-020-00211-7/rivista:International Journal of Data Science and Analytics (Print)/anno:2020/pagina_da:/pagina_a:/intervallo_pagine:/volume
11 (2020): 377–390. doi:10.1007/s41060-020-00211-7
This paper presents a framework for research infrastructures enabling ethically sensitive and legally compliant data science in Europe. Our goal is to describe how to design and implement an open platform for big data social science, including, in pa