Journal Article (Editorial)

DZNE-2022-01103

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Swarm immunology: harnessing blockchain technology and artificial intelligence in human immunology.

Schultze, J. (First author)DZNE* ; Büttner, M. ; Becker, M. (Last author)DZNE*

2022
Nature Publ. Group London

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Please use a persistent id in citations: doi:10.1038/s41577-022-00740-1

Abstract: 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.

Keyword(s): Artificial Intelligence (MeSH) ; Blockchain (MeSH) ; Humans (MeSH) ; Technology (MeSH)

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Contributing Institute(s):

1. United epigenomic platform (AG Schultze)
2. Platform for Single Cell Genomics and Epigenomics at DZNE & University of Bonn (R&D PRECISE)
3. Modular High Performance Computing and Artificial Intelligence (Modular High Performance Computing)

Research Program(s):

1. 354 - Disease Prevention and Healthy Aging (POF4-354) (POF4-354)

Appears in the scientific report 2022

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Database coverage:
; BIOSIS Previews ; BIOSIS Reviews Reports And Meetings ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 90 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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