M
Maria Saridaki
Researcher at National and Kapodistrian University of Athens
Publications - 27
Citations - 776
Maria Saridaki is an academic researcher from National and Kapodistrian University of Athens. The author has contributed to research in topics: MD5 & Checksum. The author has an hindex of 8, co-authored 23 publications receiving 255 citations.
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Journal ArticleDOI
Swarm Learning for decentralized and confidential clinical machine learning.
Stefanie Warnat-Herresthal,Hartmut Schultze,K. Shastry,Sathyanarayanan Manamohan,Saikat Mukherjee,Vishesh Garg,Ravi Sarveswara,Kristian Händler,Peter Pickkers,N. Ahmad Aziz,Sofia Ktena,Florian Tran,Michael Bitzer,Stephan Ossowski,Nicolas Casadei,Christian Herr,Daniel Petersheim,Uta Behrends,Fabian Kern,Tobias Fehlmann,Philipp Schommers,Clara Lehmann,Max Augustin,Jan Rybniker,Janine Altmüller,Neha Mishra,Joana P. Bernardes,Benjamin Krämer,Lorenzo Bonaguro,Jonas Schulte-Schrepping,Elena De Domenico,Christian Siever,Michael Kraut,Milind Desai,Bruno Monnet,Maria Saridaki,Charles Siegel,Anna Drews,Melanie Nuesch-Germano,Heidi Theis,Jan Heyckendorf,Stefan Schreiber,Sarah Kim-Hellmuth,Jacob Nattermann,Dirk Skowasch,Ingo Kurth,Andreas Keller,Andreas Keller,Robert Bals,Peter Nürnberg,Olaf Rieß +50 more
TL;DR: Wang et al. as mentioned in this paper proposed Swarm Learning, a decentralized machine learning approach that unifies edge computing, blockchain-based peer-to-peer networking and coordination while maintaining confidentiality without the need for a central coordinator.
Journal ArticleDOI
Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients.
Anna C. Aschenbrenner,Maria Mouktaroudi,Benjamin Krämer,Marie Oestreich,Nikolaos Antonakos,Melanie Nuesch-Germano,Konstantina Gkizeli,Lorenzo Bonaguro,Nico Reusch,Kevin Baßler,Maria Saridaki,Rainer Knoll,Tal Pecht,Theodore S. Kapellos,Sarandia Doulou,Charlotte Kröger,Miriam Herbert,Lisa Holsten,Arik Horne,Ioanna D. Gemünd,Nikoletta Rovina,Shobhit Agrawal,Kilian Dahm,Martina van Uelft,Anna Drews,Lena Lenkeit,Niklas Bruse,Jelle Gerretsen,Jannik Gierlich,Matthias Becker,Kristian Händler,Michael Kraut,Heidi Theis,Simachew Mengiste,Elena De Domenico,Jonas Schulte-Schrepping,Lea Seep,Jan Raabe,Christoph Hoffmeister,Michael ToVinh,Verena Keitel,Gereon Rieke,Valentina Talevi,Dirk Skowasch,N. Ahmad Aziz,N. Ahmad Aziz,Peter Pickkers,Frank L. van de Veerdonk,Mihai G. Netea,Mihai G. Netea,Joachim L. Schultze,Joachim L. Schultze,Matthijs Kox,Monique M.B. Breteler,Monique M.B. Breteler,Jacob Nattermann,Antonia Koutsoukou,Evangelos J. Giamarellos-Bourboulis,Thomas Ulas +58 more
TL;DR: This article performed RNA-seq of whole blood cell transcriptomes and granulocyte preparations from mild and severe COVID-19 patients and analyzed the data using a combination of conventional and data-driven co-expression analysis.
Journal ArticleDOI
An open label trial of anakinra to prevent respiratory failure in COVID-19.
Evdoxia Kyriazopoulou,Periklis Panagopoulos,Symeon Metallidis,George N. Dalekos,Garyphallia Poulakou,Nikolaos K. Gatselis,Eleni Karakike,Maria Saridaki,Georgia Loli,Aggelos Stefos,Danai Prasianaki,Sarah P. Georgiadou,Olga Tsachouridou,Vasileios Petrakis,Konstantinos Tsiakos,Maria Kosmidou,Vassiliki Lygoura,Maria Dareioti,Haralampos J. Milionis,Ilias Papanikolaou,Karolina Akinosoglou,Dimitra-Melia Myrodia,Areti Gravvani,Aliki Stamou,Theologia Gkavogianni,Konstantina Katrini,Theodoros Marantos,Ioannis P Trontzas,Konstantinos N. Syrigos,L. Chatzis,Stamatios Chatzis,Nikolaos Vechlidis,Christina Avgoustou,Stamatios Chalvatzis,Miltiades Kyprianou,Jos W. M. van der Meer,Jesper Eugen-Olsen,Mihai G. Netea,Evangelos J. Giamarellos-Bourboulis +38 more
TL;DR: In this article, a blood protein called suPAR (soluble urokinase plasminogen activator receptor) was used to identify patients at the greatest risk of developing severe respiratory failure and requiring a ventilator.
Posted ContentDOI
Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients
Anna C. Aschenbrenner,Anna C. Aschenbrenner,Maria Mouktaroudi,Benjamin Krämer,Nikolaos Antonakos,Marie Oestreich,Konstantina Gkizeli,Melanie Nuesch-Germano,Maria Saridaki,Lorenzo Bonaguro,Nico Reusch,Kevin Baßler,Sarandia Doulou,Rainer Knoll,Tal Pecht,Theodore S. Kapellos,Nikoletta Rovina,Charlotte Kröger,Miriam Herbert,Lisa Holsten,Arik Horne,Ioanna D. Gemünd,Shobhit Agrawal,Kilian Dahm,Martina van Uelft,Anna Drews,Lena Lenkeit,Niklas Bruse,Jelle Gerretsen,Jannik Gierlich,Matthias Becker,Kristian Händler,Michael Kraut,Heidi Theis,Simachew Mengiste,Elena De Domenico,Jonas Schulte-Schrepping,Lea Seep,Jan Raabe,Christoph Hoffmeister,Michael ToVinh,Verena Keitel,Gereon Rieke,Valentina Talevi,N. Ahmad Aziz,N. Ahmad Aziz,Peter Pickkers,Frank L. van de Veerdonk,Mihai G. Netea,Mihai G. Netea,Joachim L. Schultze,Joachim L. Schultze,Matthijs Kox,Monique M.B. Breteler,Monique M.B. Breteler,Jacob Nattermann,Antonia Koutsoukou,Evangelos J. Giamarellos-Bourboulis,Thomas Ulas,Thomas Ulas,German Covid Omics Initiative +60 more
TL;DR: Comparison of COVID-19 blood transcriptomes with those of a collection of over 2,600 samples derived from 11 different viral infections, inflammatory diseases and independent control samples revealed highly specific transcriptome signatures for CO VID-19, which predicted patient subgroup-specific drug candidates targeting the dysregulated systemic immune response of the host.