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001 9781003137931
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040 _aOCoLC-P
_beng
_erda
_cOCoLC-P
020 _a9781000369892
_qelectronic book
020 _a1000369897
_qelectronic book
020 _a9781000369915
_qelectronic publication
020 _a1000369919
_qelectronic publication
020 _a9781003137931
_qelectronic book
020 _a1003137938
_qelectronic book
020 _z0367685213
020 _z9780367685218
020 _z0367654652
020 _z9780367654658
024 7 _a10.1201/9781003137931
_2doi
035 _a(OCoLC)1229915844
035 _a(OCoLC-P)1229915844
050 4 _aQR182.2.I46
_bC38 2021
072 7 _aSCI
_x010000
_2bisacsh
072 7 _aMED
_x009000
_2bisacsh
072 7 _aSCI
_x008000
_2bisacsh
072 7 _aUYQ
_2bicssc
082 0 4 _a616.07/9028563
_223
100 1 _aCatania, Louis J.,
_eauthor.
245 1 0 _aAI for immunology /
_cLouis J. Cantania.
250 _aFirst edition.
264 1 _aMilton Park, Abingdon, Oxon ;
_aBoca Raton, FL :
_bCRC Press,
_c2021.
300 _a1 online resource (xiv, 143 pages) :
_billustrations.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aAI for everything
520 _aThe bioscience of immunology has given us a better understanding of human health and disease. Artificial intelligence (AI) has elevated that understanding and its applications in immunology to new levels. Together, AI for immunology is an advancing horizon in health care, disease diagnosis, and prevention. From the simple cold to the most advanced autoimmune disorders and now pandemics, AI for immunology is unlocking the causes and cures. Key features: A highly accessible and wide-ranging short introduction to AI for immunology Includes a chapter on COVID-19 and pandemics Includes scientific and clinical considerations, as well as immune and autoimmune diseases
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aImmunoinformatics.
650 7 _aSCIENCE / Biotechnology
_2bisacsh
650 7 _aMEDICAL / Biotechnology
_2bisacsh
650 7 _aSCIENCE / Life Sciences / Biology / General
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003137931
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c129772
_d129772