Swarm Learning for decentralized and confidential clinical machine learning

Autor: Warnat-Herresthal, Stefanie, Schultze, Hartmut, Ktena, Sofia, Franzenburg, Sören, Frick, Julia-Stefanie, Gabernet, Gisela, Gagneur, Julien, Ganzenmueller, Tina, Gauder, Marie, Geißert, Janina, Goesmann, Alexander, Göpel, Siri, Grundhoff, Adam, Tran, Florian, Grundmann, Hajo, Hain, Torsten, Hanses, Frank, Hehr, Ute, Heimbach, André, Hoeper, Marius, Horn, Friedemann, Hübschmann, Daniel, Hummel, Michael, Iftner, Thomas, Bitzer, Michael, Iftner, Angelika, Illig, Thomas, Janssen, Stefan, Kalinowski, Jörn, Kallies, René, Kehr, Birte, Keppler, Oliver T, Klein, Christoph, Knop, Michael, Kohlbacher, Oliver, Ossowski, Stephan, Köhrer, Karl, Korbel, Jan, Kremsner, Peter G, Kühnert, Denise, Landthaler, Markus, Li, Yang, Ludwig, Kerstin U, Makarewicz, Oliwia, Marz, Manja, McHardy, Alice C, Casadei, Nicolas, Mertes, Christian, Münchhoff, Maximilian, Nahnsen, Sven, Nöthen, Markus M., Ntoumi, Francine, Overmann, Jörg, Peter, Silke, Pfeffer, Klaus, Pink, Isabell, Poetsch, Anna R, Herr, Christian, Protzer, Ulrike, Pühler, Alfred, Rajewsky, Nikolaus, Ralser, Markus, Reiche, Kristin, Ripke, Stephan, da Rocha, Ulisses Nunes, Saliba, Antoine-Emmanuel, Sander, Leif Erik, Sawitzki, Birgit, Petersheim, Daniel, Scheithauer, Simone, Schiffer, Philipp, Schmid-Burgk, Jonathan, Schneider, Wulf, Schulte, Eva-Christina, Sczyrba, Alexander, Sharaf, Mariam L, Singh, Yogesh, Sonnabend, Michael, Stegle, Oliver, Behrends, Uta, Stoye, Jens, Vehreschild, Janne, Velavan, Thirumalaisamy P, Vogel, Jörg, Volland, Sonja, von Kleist, Max, Walker, Andreas, Walter, Jörn, Wieczorek, Dagmar, Winkler, Sylke, Kern, Fabian, Ziebuhr, John, Fehlmann, Tobias, Shastry, Krishnaprasad Lingadahalli, Schommers, Philipp, Lehmann, Clara, Augustin, Max, Rybniker, Jan, Altmüller, Janine, Mishra, Neha, Bernardes, Joana P, Krämer, Benjamin, Bonaguro, Lorenzo, Schulte-Schrepping, Jonas, Manamohan, Sathyanarayanan, De Domenico, Elena, Siever, Christian, Kraut, Michael, Desai, Milind, Monnet, Bruno, Saridaki, Maria, Siegel, Charles Martin, Drews, Anna, Nuesch Germano, Melanie, Theis, Heidi, Mukherjee, Saikat, Heyckendorf, Jan, Schreiber, Stefan, Kim-Hellmuth, Sarah, Study, COVID-19 Aachen, Nattermann, Jacob, Skowasch, Dirk, Kurth, Ingo, Keller, Andreas, Bals, Robert, Nürnberg, Peter, Garg, Vishesh, Rieß, Olaf, Rosenstiel, Philip, Netea, Mihai G, Theis, Fabian, Mukherjee, Sach, Backes, Michael, Aschenbrenner, Anna C, Ulas, Thomas, Initiative, Deutsche COVID-19 Omics, Breteler, Monique, Sarveswara, Ravi, Giamarellos-Bourboulis, Evangelos J, Kox, Matthijs, Becker, Matthias, Cheran, Sorin, Woodacre, Michael S, Goh, Eng Lim, Schultze, Joachim L, Balfanz, Paul, Eggermann, Thomas, Boor, Peter, Händler, Kristian, Hausmann, Ralf, Kuhn, Hannah, Isfort, Susanne, Stingl, Julia Carolin, Schmalzing, Günther, Kuhl, Christiane K, Röhrig, Rainer, Marx, Gernot, Uhlig, Stefan, Dahl, Edgar, Pickkers, Peter, Müller-Wieland, Dirk, Dreher, Michael, Marx, Nikolaus, Angelov, Angel, Bartholomäus, Alexander, Becker, Anke, Bezdan, Daniela, Blumert, Conny, Bonifacio, Ezio, Bork, Peer, Aziz, Ahmad, Boyke, Bunk, Blum, Helmut, Clavel, Thomas, Colome-Tatche, Maria, Cornberg, Markus, De La Rosa Velázquez, Inti Alberto, Diefenbach, Andreas, Dilthey, Alexander, Fischer, Nicole, Förstner, Konrad

Publikováno v: Nature, 594(7862), 265-270. Nature Publishing Group
Nature
Nature, 594, 7862, pp. 265-270
Nature, 594, 265-270
Nature (2021)
Nature 594(7862), 265-270 (2021). doi:10.1038/s41586-021-03583-3

Fast and reliable detection of patients with severe and heterogeneous illnesses is a major goal of precision medicine1,2. Patients with leukaemia can be identified using machine learning on the basis of their blood transcriptomes3. However, there is

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec35177e99f77173021d0f7e89747def
https://research.rug.nl/en/publications/daf90693-3919-4802-8048-dd81b2a60169

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