Home > Publications Database > Swarm immunology: harnessing blockchain technology and artificial intelligence in human immunology. > print |
001 | 164554 | ||
005 | 20230915090553.0 | ||
024 | 7 | _ | |a pmc:PMC9136788 |2 pmc |
024 | 7 | _ | |a 10.1038/s41577-022-00740-1 |2 doi |
024 | 7 | _ | |a pmid:35624333 |2 pmid |
024 | 7 | _ | |a 1474-1733 |2 ISSN |
024 | 7 | _ | |a 1474-1741 |2 ISSN |
024 | 7 | _ | |a altmetric:128939772 |2 altmetric |
037 | _ | _ | |a DZNE-2022-01103 |
041 | _ | _ | |a English |
082 | _ | _ | |a 570 |
100 | 1 | _ | |a Schultze, Joachim |0 P:(DE-2719)2811660 |b 0 |e First author |u dzne |
245 | _ | _ | |a Swarm immunology: harnessing blockchain technology and artificial intelligence in human immunology. |
260 | _ | _ | |a London |c 2022 |b Nature Publ. Group |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1657548266_30476 |2 PUB:(DE-HGF) |x Editorial |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a Human immunology may soon benefit from the use of artificial intelligence and blockchain technologies. Here, we discuss how Swarm Learning could foster collaborative worldwide immunology studies that fully respect local data privacy regulations by sharing insights, not data. |
536 | _ | _ | |a 354 - Disease Prevention and Healthy Aging (POF4-354) |0 G:(DE-HGF)POF4-354 |c POF4-354 |f POF IV |x 0 |
588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: pub.dzne.de |
650 | _ | 2 | |a Artificial Intelligence |2 MeSH |
650 | _ | 2 | |a Blockchain |2 MeSH |
650 | _ | 2 | |a Humans |2 MeSH |
650 | _ | 2 | |a Technology |2 MeSH |
700 | 1 | _ | |a Büttner, Maren |b 1 |
700 | 1 | _ | |a Becker, Matthias |0 P:(DE-2719)2812750 |b 2 |e Last author |u dzne |
773 | _ | _ | |a 10.1038/s41577-022-00740-1 |g Vol. 22, no. 7, p. 401 - 403 |0 PERI:(DE-600)2060551-1 |n 7 |p 401-403 |t Nature reviews / Immunology |v 22 |y 2022 |x 1474-1733 |
909 | C | O | |p VDB |o oai:pub.dzne.de:164554 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 0 |6 P:(DE-2719)2811660 |
910 | 1 | _ | |a Deutsches Zentrum für Neurodegenerative Erkrankungen |0 I:(DE-588)1065079516 |k DZNE |b 2 |6 P:(DE-2719)2812750 |
913 | 1 | _ | |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |1 G:(DE-HGF)POF4-350 |0 G:(DE-HGF)POF4-354 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Disease Prevention and Healthy Aging |x 0 |
914 | 1 | _ | |y 2022 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-01-26 |
915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-01-26 |
915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2022-11-23 |w ger |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1110 |2 StatID |b Current Contents - Clinical Medicine |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1120 |2 StatID |b BIOSIS Reviews Reports And Meetings |d 2022-11-23 |
915 | _ | _ | |a JCR |0 StatID:(DE-HGF)0100 |2 StatID |b NAT REV IMMUNOL : 2021 |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-23 |
915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0600 |2 StatID |b Ebsco Academic Search |d 2022-11-23 |
915 | _ | _ | |a Peer Review |0 StatID:(DE-HGF)0030 |2 StatID |b ASC |d 2022-11-23 |
915 | _ | _ | |a IF >= 90 |0 StatID:(DE-HGF)9990 |2 StatID |b NAT REV IMMUNOL : 2021 |d 2022-11-23 |
920 | 1 | _ | |0 I:(DE-2719)1013031 |k AG Schultze |l United epigenomic platform |x 0 |
920 | 1 | _ | |0 I:(DE-2719)5000031 |k R&D PRECISE |l Platform for Single Cell Genomics and Epigenomics at DZNE & University of Bonn |x 1 |
920 | 1 | _ | |0 I:(DE-2719)5000079 |k Modular High Performance Computing |l Modular High Performance Computing and Artificial Intelligence |x 2 |
980 | _ | _ | |a journal |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-2719)1013031 |
980 | _ | _ | |a I:(DE-2719)5000031 |
980 | _ | _ | |a I:(DE-2719)5000079 |
980 | _ | _ | |a UNRESTRICTED |
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