Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Thomas, Linden"'
Autor:
Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J.G.T. Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 2, Iss , Pp 100032- (2022)
Externí odkaz:
https://doaj.org/article/5a320d6d6a6f48538d8322230d437d85
Autor:
Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J.G.T. Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Roemmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 1, Iss , Pp 100020- (2021)
Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases are lacking. In this work, we developed a machine learning model which predicts mortality for COVID-19 patients us
Externí odkaz:
https://doaj.org/article/f1ebf07fad2e486282bb8146b1b0d351
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Epilepsy is a complex brain disorder characterized by repetitive seizure events. Epilepsy patients often suffer from various and severe physical and psychological comorbidities (e.g., anxiety, migraine, and stroke). While general comorbidity prevalen
Externí odkaz:
https://doaj.org/article/45f8d771b5ca4ba3be93fe235e0fce7e
Autor:
Philipp, Wegner, Geena Mariya, Jose, Vanessa, Lage-Rupprecht, Sepehr, Golriz Khatami, Bide, Zhang, Stephan, Springstubbe, Marc, Jacobs, Thomas, Linden, Cindy, Ku, Bruce, Schultz, Martin, Hofmann-Apitius, Alpha Tom, Kodamullil
Publikováno v:
Bioinformatics. 38:5466-5468
Motivation A global medical crisis like the coronavirus disease 2019 (COVID-19) pandemic requires interdisciplinary and highly collaborative research from all over the world. One of the key challenges for collaborative research is a lack of interoper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96d0fb165928139c59a72647b00a1536
https://doi.org/10.1093/bioinformatics/btac651
https://doi.org/10.1093/bioinformatics/btac651
Autor:
Manuel Lentzen, Thomas Linden, Sai Veeranki, Sumit Madan, Diether Kramer, Werner Leodolter, Holger Fröhlich
In situations like the COVID-19 pandemic, healthcare systems are under enormous pressure as they can rapidly collapse under the burden of the crisis. Machine learning (ML) based risk models could lift the burden by identifying patients with high risk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d0417227c43eaa7a6a887c44f6f2b63
https://doi.org/10.1101/2022.11.29.22282632
https://doi.org/10.1101/2022.11.29.22282632
Publikováno v:
Proceedings on Privacy Enhancing Technologies, Vol 2020, Iss 1, Pp 47-64 (2020)
The EU General Data Protection Regulation (GDPR) is one of the most demanding and comprehensive privacy regulations of all time. A year after it went into effect, we study its impact on the landscape of privacy policies online. We conduct the first l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a75d8113e2e50c0d9b51d87af60ba055
https://doaj.org/article/6db9708bf3224753a91cc30105666582
https://doaj.org/article/6db9708bf3224753a91cc30105666582
Autor:
Madeleine Hinwood, Jenny Nyberg, Lucy Leigh, Sara Gustavsson, John Attia, Christopher Oldmeadow, Marina Ilicic, Thomas Linden, N David Åberg, Chris Levi, Neil Spratt, Leeanne M Carey, Michael Pollack, Sarah J Johnson, Georg Hans Kuhn, Frederick R Walker, Michael Nilsson
Publikováno v:
Christopher Levi
IntroductionThe target of a class of antiplatelet medicines, P2Y12R inhibitors, exists both on platelets and on brain immune cells (microglia). This protocol aims to describe a causal (based on a counterfactual model) approach for analysing whether P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db425eac3a1fa46b35e369124b2b477d
Autor:
Michaela C. Pascoe, Sheila G. Crewther, Leeanne M. Carey, Kate Noonan, David P. Crewther, Thomas Linden
Publikováno v:
Food & Nutrition Research, Vol 56, Iss 0, Pp 1-5 (2012)
Background: Elderly stroke survivors have been reported to be at risk of malnutrition and depression. Vitamin B-related metabolites such as methylmalonic acid and homocysteine have been implicated in depression. Objective: We conducted a study explor
Externí odkaz:
https://doaj.org/article/16cd84e59793401285b07165da2bbb23
Autor:
Frank Hanses, Christoph Roemmele, Maria J G T Vehreschild, Maria Kuzikov, Maria Madeleine Ruethrich, Martin Hower, Stefan Borgmann, Daniel Domingo-Fernández, Andrea Zaliani, Christoph Wyen, Bernd Hertenstein, Thorsten Feldt, Siegbert Rieg, Thomas Linden, Kai Wille, Holger Fröhlich, Jörg Janne Vehreschild, Jochen Schneider, Julia Lanznaster, Lauren Nicole DeLong, Melanie Stecher, Alpha Tom Kodamullil, Carolin Jakob
Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases are lacking. In this work, we developed a machine learning model which predicts mortality for COVID-19 patients us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be8f094f9095f5440a76538e7f46473a
https://doi.org/10.1101/2021.11.11.21266048
https://doi.org/10.1101/2021.11.11.21266048