Suchergebnisse

14 Ergebnisse

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Open Access#12019

Therapeutic targeting of trained immunity

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Open Access#22020

The shaping of immunological responses through natural selection after the Roma Diaspora

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Open Access#32015

The genetics of East African populations: a Nilo-Saharan component in the African genetic landscape

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Open Access#42022

A prospective observational cohort study to identify inflammatory biomarkers for the diagnosis and prognosis of patients with sepsis

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Open Access#52014

Trained immunity or tolerance : opposing functional programs induced in human monocytes after engagement of various pattern recognition receptors

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Open Access#6

The genetics of East African populations: a Nilo-Saharan component in the African genetic landscape

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Open Access#72021

Polymorphisms within Autophagy-Related Genes Influence the Risk of Developing Colorectal Cancer: A Meta-Analysis of Four Large Cohorts

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Open Access#82014

Fungal Chitin Dampens Inflammation through IL-10 Induction Mediated by NOD2 and TLR9 Activation

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Open Access#92014

The role of Dectin-2 for host defense against systemic infection with Candida glabrata

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Open Access#112021

Polymorphisms within the TNFSF4 and MAPKAPK2 Loci influence the risk of developing invasive aspergillosis: A two-stage case control study in the context of the aspBIOmics consortium

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Open Access#122020

Polymorphisms within the TNFSF4 and MAPKAPK2 Loci Influence the Risk of Developing Invasive Aspergillosis: A Two-Stage Case Control Study in the Context of the aspBIOmics Consortium

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Open Access#132021

Swarm Learning for decentralized and confidential clinical machine learning

In: Warnat-Herresthal, Stefanie, Schultze, Hartmut orcid:0000-0001-5008-7851 , Shastry, Krishnaprasad Lingadahalli, Manamohan, Sathyanarayanan, Mukherjee, Saikat, Garg, Vishesh orcid:0000-0001-5133-5896 , Sarveswara, Ravi, Haendler, Kristian, Pickkers, Peter, Aziz, N. Ahmad, Ktena, Sofia, Tran, Florian, Bitzer, Michael, Ossowski, Stephan, Casadei, Nicolas, Herr, Christian, Petersheim, Daniel, Behrends, Uta, Kern, Fabian, Fehlmann, Tobias, Schommers, Philipp orcid:0000-0003-3375-6800 , Lehmann, Clara, Augustin, Max, Rybniker, Jan, Altmueller, Janine, Mishra, Neha, Bernardes, Joana P., Kraemer, Benjamin, Bonaguro, Lorenzo, Schulte-Schrepping, Jonas, De Domenico, Elena orcid:0000-0003-0336-8284 , Siever, Christian, Kraut, Michael, Desai, Milind, Monnet, Bruno, Saridaki, Maria, Siegel, Charles Martin, Drews, Anna, Nuesch-Germano, Melanie, Theis, Heidi, Heyckendorf, Jan, Schreiber, Stefan, Kim-Hellmuth, Sarah orcid:0000-0001-8791-5729 , Nattermann, Jacob, Skowasch, Dirk, Kurth, Ingo, Keller, Andreas orcid:0000-0002-5361-0895 , Bals, Robert, Nuernberg, Peter, Riess, Olaf, Rosenstiel, Philip, Netea, Mihai G., Theis, Fabian, Mukherjee, Sach, Backes, Michael, Aschenbrenner, Anna C., Ulas, Thomas, Breteler, Monique M. B., Giamarellos-Bourboulis, Evangelos J., Kox, Matthijs, Becker, Matthias, Cheran, Sorin, Woodacre, Michael S., Goh, Eng Lim and Schultze, Joachim L. orcid:0000-0003-2812-9853 (2021). Swarm Learning for decentralized and confidential clinical machine learning. Nature, 594 (7862). S. 265 - 290. BERLIN: NATURE RESEARCH. ISSN 1476-4687

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Open Access#142020

How the COVID-19 pandemic highlights the necessity of animal research

In: Genzel , L , Adan , R , Berns , A , van den Beucken , J , Blokland , A , Boddeke , E H W G M , Bogers , W M , Bontrop , R , Bulthuis , R , Bousema , T , Clevers , H , Coenen , T C J J , Dam , A-M V , Deen , P M T , van Dijk , K W , Eggen , B J L , Elgersma , Y , Erdogan , I , Englitz , B , Fentener van Vlissingen , J M , la Fleur , S , Fouchier , R , Fitzsimons , C P , Frieling , W , Haagmans , B , Heesters , B A , Henckens , M , Herfst , S , Hol , E , van den Hove , D , de Jonge , M I , Jonkers , J , Joosten , L A B , Kalsbeek , A , Kamermans , M , Kampinga , H H , Kas , M J , Keijer , J , Kersten , S , Kiliaan , A J , Kooij , T W A , Kooijman , S , Koopman , W J H , Korosi , A , Krugers , H J , Kuiken , T , Kushner , S A , Langermans , J A M , Lesscher , H , Lucassen , P J , Lutgens , E , Netea , M G , Noldus , L P J J , van der Meer , J W M , Meye , F J , Mul , J D , van Oers , K , Olivier , J D A , Pasterkamp , R J , Philippens , I H C H M , Prickaerts , J , Pullox , B , Rensen , P C N , van Rheenen , J , van Rij , R P , Ritsma , L , Rockx , B H G , Roozendaal , B , van Schothorst , E M , Stittelaar , K , Stockhofe , N , Swaab , D F , de Swart , R L , Vanderschuren , L J M J , de Vries , T , de Vrij , F , van Wezel , R , Wierenga , C J , Wiesmann , M , Willuhn , I , de Zeeuw , C I & Homberg , J R 2020 , ' How the COVID-19 pandemic highlights the necessity of animal research ' , Current Biology , vol. 30 , no. 18 , pp. R1014-R1018 . https://doi.org/10.1016/j.cub.2020.08.030

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