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Artificial Intelligence, Big Data, and Regulation of Immunity: Challenges and Opportunities


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Beaulieu A, Leonelli S (2021). Data and Society: A Critical Introduction. SAGE Publications Sage CA: Los Angeles, CA. BeaulieuA LeonelliS 2021 Data and Society: A Critical Introduction SAGE Publications Sage CA Los Angeles, CA Search in Google Scholar

Berg G, Rybakova D, Fischer D et al (2020) Microbiome definition re-visited: Old concepts and new challenges. Microbiome 8:103. https://doi.org/10.1186/s40168-020-00875-0 BergG RybakovaD FischerD 2020 Microbiome definition re-visited: Old concepts and new challenges Microbiome 8 103 https://doi.org/10.1186/s40168-020-00875-0 Search in Google Scholar

Bhattacharya S, Andorf S, Gomes L et al (2014) ImmPort: Disseminating data to the public for the future of immunology. Immunol Res 58:234–239. https://doi.org/10.1007/s12026-014-8516-1 BhattacharyaS AndorfS GomesL 2014 ImmPort: Disseminating data to the public for the future of immunology Immunol Res 58 234 239 https://doi.org/10.1007/s12026-014-8516-1 Search in Google Scholar

Bhattacharya S, Dunn P, Thomas CG et al (2018) ImmPort, toward repurposing of open access immunological assay data for translational and clinical research. Sci Data 5:180015. https://doi.org/10.1038/sdata.2018.15 BhattacharyaS DunnP ThomasCG 2018 ImmPort, toward repurposing of open access immunological assay data for translational and clinical research Sci Data 5 180015 https://doi.org/10.1038/sdata.2018.15 Search in Google Scholar

Bluestone JA, Tang Q (2015) Immunotherapy: Making the case for precision medicine. Sci Transl Med 7:280ed3. https://doi.org/10.1126/scitranslmed.aaa9846 BluestoneJA TangQ 2015 Immunotherapy: Making the case for precision medicine Sci Transl Med 7 280ed3 https://doi.org/10.1126/scitranslmed.aaa9846 Search in Google Scholar

Cao Z, Sugimura N, Burgermeister E et al (2022) The gut virome: A new microbiome component in health and disease. EBioMedicine 81:104113. https://doi.org/10.1016/j.ebiom.2022.104113 CaoZ SugimuraN BurgermeisterE 2022 The gut virome: A new microbiome component in health and disease EBioMedicine 81 104113 https://doi.org/10.1016/j.ebiom.2022.104113 Search in Google Scholar

Chu X, Zhang B, Koeken VACM et al (2021) Multi-omics approaches in immunological research. Front Immunol 12:668045. https://doi.org/10.3389/fimmu.2021.668045 ChuX ZhangB KoekenVACM 2021 Multi-omics approaches in immunological research Front Immunol 12 668045 https://doi.org/10.3389/fimmu.2021.668045 Search in Google Scholar

Cullen T, Garcia JE (2021) Data mining, data analytics, and bioinformatics. In: Okpaku SO (ed) Innovations in Global Mental Health. Springer, Cham, pp 455–488. https://doi.org/10.1007/978-3-030-57296-9_141 CullenT GarciaJE 2021 Data mining, data analytics, and bioinformatics In: OkpakuSO (ed) Innovations in Global Mental Health Springer Cham 455 488 https://doi.org/10.1007/978-3-030-57296-9_141 Search in Google Scholar

Deng N, Wu C, Yaseen A et al (2022) ImmuneData: An integrated data discovery system for immunology data repositories. Database 2022:baac003. https://doi.org/10.1093/database/baac003 DengN WuC YaseenA 2022 ImmuneData: An integrated data discovery system for immunology data repositories Database 2022 baac003 https://doi.org/10.1093/database/baac003 Search in Google Scholar

Editorial (2015) Big data meets mechanism. Nat Med 21:673. https://doi.org/10.1038/nm.3903 Editorial 2015 Big data meets mechanism Nat Med 21 673 https://doi.org/10.1038/nm.3903 Search in Google Scholar

Fu J, Li K, Zhang W et al (2020) Large-scale public data reuse to model immunotherapy response and resistance. Genome Med 12:21. https://doi.org/10.1186/s13073-020-0721-z FuJ LiK ZhangW 2020 Large-scale public data reuse to model immunotherapy response and resistance Genome Med 12 21 https://doi.org/10.1186/s13073-020-0721-z Search in Google Scholar

Garattini C, Raffle J, Aisyah DN et al (2019) Big data analytics, infectious diseases and associated ethical impacts. Philos Technol 32:69–85. https://doi.org/10.1007/s13347-017-0278-y GarattiniC RaffleJ AisyahDN 2019 Big data analytics, infectious diseases and associated ethical impacts Philos Technol 32 69 85 https://doi.org/10.1007/s13347-017-0278-y Search in Google Scholar

Heymann DL, Rodier GR (2004) SARS: A global response to an international threat. Brown J World Aff 10:185–197. HeymannDL RodierGR 2004 SARS: A global response to an international threat Brown J World Aff 10 185 197 Search in Google Scholar

Hong M, Clubb JD, Chen YY (2020) Engineering CAR-T cells for next-generation cancer therapy. Cancer Cell 38:473–488. https://doi.org/10.1016/j.ccell.2020.07.005 HongM ClubbJD ChenYY 2020 Engineering CAR-T cells for next-generation cancer therapy Cancer Cell 38 473 488 https://doi.org/10.1016/j.ccell.2020.07.005 Search in Google Scholar

Hooper LV, Littman DR, Macpherson AJ (2012) Interactions between the microbiota and the immune system. Science 336: 1268–1273. https://doi.org/10.1126/science.1223490 HooperLV LittmanDR MacphersonAJ 2012 Interactions between the microbiota and the immune system Science 336 1268 1273 https://doi.org/10.1126/science.1223490 Search in Google Scholar

Human Immunome Project (2023) A new model for global health: Harnessing the power of the immune system to improve health for all. Available at: https://www.humanimmunomeproject.org/ and was accessed on 27 October 2023. Human Immunome Project 2023 A new model for global health: Harnessing the power of the immune system to improve health for all Available at: https://www.humanimmunomeproject.org/ and was accessed on 27 October 2023. Search in Google Scholar

Jabbari P, Rezaei N (2019) Artificial intelligence and immunotherapy. Expert Rev Clin Immunol 15:689–691. https://doi.org/10.1080/1744666X.2019.1623670 JabbariP RezaeiN 2019 Artificial intelligence and immunotherapy Expert Rev Clin Immunol 15 689 691 https://doi.org/10.1080/1744666X.2019.1623670 Search in Google Scholar

Jasanoff S (2016) The Ethics of Invention: Technology and the Human Future. WW Norton & Company Inc, New York, NY. JasanoffS 2016 The Ethics of Invention: Technology and the Human Future WW Norton & Company Inc New York, NY Search in Google Scholar

Jiang P, Sinha S, Aldape K et al (2022) Big data in basic and translational cancer research. Nat Rev Cancer 22:625–639. https://doi.org/10.1038/s41568-022-00502-0 JiangP SinhaS AldapeK 2022 Big data in basic and translational cancer research Nat Rev Cancer 22 625 639 https://doi.org/10.1038/s41568-022-00502-0 Search in Google Scholar

Johnson KB, Wei WQ, Weeraratne D et al (2021) Precision medicine, AI, and the future of personalized health care. Clin Transl Sci 14:86–93. https://doi.org/10.1111/cts.12884 JohnsonKB WeiWQ WeeraratneD 2021 Precision medicine, AI, and the future of personalized health care Clin Transl Sci 14 86 93 https://doi.org/10.1111/cts.12884 Search in Google Scholar

Kaczorowski KJ, Shekhar K, Nkulikiyimfura D et al (2017) Continuous immunotypes describe human immune variation and predict diverse responses. Proc Natl Acad Sci USA 114:E6097–E6106. https://doi.org/10.1073/pnas.1705065114 KaczorowskiKJ ShekharK NkulikiyimfuraD 2017 Continuous immunotypes describe human immune variation and predict diverse responses Proc Natl Acad Sci USA 114 E6097 E6106 https://doi.org/10.1073/pnas.1705065114 Search in Google Scholar

Li J, Wu J, Zhao Z et al (2021a) Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: A narrative review. J Thorac Dis 13:7021–7033. https://doi.org/10.21037/jtd-21-864 LiJ WuJ ZhaoZ 2021a Artificial intelligence-assisted decision making for prognosis and drug efficacy prediction in lung cancer patients: A narrative review J Thorac Dis 13 7021 7033 https://doi.org/10.21037/jtd-21-864 Search in Google Scholar

Li Y, Ma L, Wu D et al (2021b) Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine. Brief Bioinform 22:bbab024. https://doi.org/10.1093/bib/bbab024 LiY MaL WuD 2021b Advances in bulk and single-cell multi-omics approaches for systems biology and precision medicine Brief Bioinform 22 bbab024 https://doi.org/10.1093/bib/bbab024 Search in Google Scholar

Liu X, Hasan MR, Ahmed KA et al (2023) Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis. BMC Bioinformatics 24:7. https://doi.org/10.1186/s12859-022-05127-6 LiuX HasanMR AhmedKA 2023 Machine learning to analyse omic-data for COVID-19 diagnosis and prognosis BMC Bioinformatics 24 7 https://doi.org/10.1186/s12859-022-05127-6 Search in Google Scholar

Lockey S, Gillespie N, Holm D et al (2021) A review of trust in artificial intelligence: Challenges, vulnerabilities and future directions. In: Proceedings of the 54th Hawaii International Conference on System Sciences, 5463–5472. https://hdl.handle.net/10125/71284 LockeyS GillespieN HolmD 2021 A review of trust in artificial intelligence: Challenges, vulnerabilities and future directions In: Proceedings of the 54th Hawaii International Conference on System Sciences 5463 5472 https://hdl.handle.net/10125/71284 Search in Google Scholar

Maecker HT, McCoy JP, Nussenblatt R (2012) Standardizing immunophenotyping for the Human Immunology Project. Nat Rev Immunol 12:191–200. https://doi.org/10.1038/nri3158 MaeckerHT McCoyJP NussenblattR 2012 Standardizing immunophenotyping for the Human Immunology Project Nat Rev Immunol 12 191 200 https://doi.org/10.1038/nri3158 Search in Google Scholar

Naqa IE, Kosorok MR, Jin J et al (2018) Prospects and challenges for clinical decision support in the era of big data. JCO Clin Cancer Inform 2:CCI.18.00002. https://doi.org/10.1200/CCI.18.00002 NaqaIE KosorokMR JinJ 2018 Prospects and challenges for clinical decision support in the era of big data JCO Clin Cancer Inform 2 CCI.18.00002. https://doi.org/10.1200/CCI.18.00002 Search in Google Scholar

Nikoopour E, Singh B (2014) Reciprocity in microbiome and immune system interactions and its implications in disease and health. Inflamm Allergy Drug Targets 13:94–104. https://doi.org/10.2174/1871528113666140330201056 NikoopourE SinghB 2014 Reciprocity in microbiome and immune system interactions and its implications in disease and health Inflamm Allergy Drug Targets 13 94 104 https://doi.org/10.2174/1871528113666140330201056 Search in Google Scholar

Park JS, Gazzaniga FS, Kasper DL et al (2023) Microbiota-dependent regulation of costimulatory and coinhibitory pathways via innate immune sensors and implications for immunotherapy. Exp Mol Med 55:1913–1921. https://doi.org/10.1038/s12276-023-01075-0 ParkJS GazzanigaFS KasperDL 2023 Microbiota-dependent regulation of costimulatory and coinhibitory pathways via innate immune sensors and implications for immunotherapy Exp Mol Med 55 1913 1921 https://doi.org/10.1038/s12276-023-01075-0 Search in Google Scholar

Park SS, Grayson MH (2008) Clinical research: Protection of the “vulnerable”? J Allergy Clin Immunol 121:1103–1107. ParkSS GraysonMH 2008 Clinical research: Protection of the “vulnerable”? J Allergy Clin Immunol 121 1103 1107 Search in Google Scholar

Parker DM, Pine SG, Ernst ZW (2019) Privacy and informed consent for research in the age of big data. Penn State Law Rev 123:703–733. ParkerDM PineSG ErnstZW 2019 Privacy and informed consent for research in the age of big data Penn State Law Rev 123 703 733 Search in Google Scholar

Parvizpour S, Pourseif MM, Razmara J et al (2020) Epitope-based vaccine design: A comprehensive overview of bioinformatics approaches. Drug Discov Today 25:1034–1042. https://doi.org/10.1016/j.drudis.2020.03.006 ParvizpourS PourseifMM RazmaraJ 2020 Epitope-based vaccine design: A comprehensive overview of bioinformatics approaches Drug Discov Today 25 1034 1042 https://doi.org/10.1016/j.drudis.2020.03.006 Search in Google Scholar

Rider NL, Srinivasan R, Khoury P (2020) Artificial intelligence and the hunt for immunological disorders. Curr Opin Allergy Clin Immunol 20:565–573. https://doi.org/10.1097/ACI.000000000000069 RiderNL SrinivasanR KhouryP 2020 Artificial intelligence and the hunt for immunological disorders Curr Opin Allergy Clin Immunol 20 565 573 https://doi.org/10.1097/ACI.000000000000069 Search in Google Scholar

Sadelain M, Rivière I, Riddell S (2017) Therapeutic T cell engineering. Nature 545:423–431. https://doi.org/10.1038/nature22395 SadelainM RivièreI RiddellS 2017 Therapeutic T cell engineering Nature 545 423 431 https://doi.org/10.1038/nature22395 Search in Google Scholar

Schultze JL (2015) Teaching ‘big data’ analysis to young immunologists. Nat Immunol 16:902–905. https://doi.org/10.1038/ni.3250 SchultzeJL 2015 Teaching ‘big data’ analysis to young immunologists Nat Immunol 16 902 905 https://doi.org/10.1038/ni.3250 Search in Google Scholar

Sharma P, Goswami S, Raychaudhuri D et al (2023) Immune checkpoint therapy-current perspectives and future directions. Cell 186:1652–1669. https://doi.org/10.1016/j.cell.2023.03.006 SharmaP GoswamiS RaychaudhuriD 2023 Immune checkpoint therapy-current perspectives and future directions Cell 186 1652 1669 https://doi.org/10.1016/j.cell.2023.03.006 Search in Google Scholar

Singh B, Qin N, Reid G (2015) Microbiome regulation of autoimmune, gut and liver associated diseases. Inflamm Allergy Drug Targets 14:84–93. https://doi.org/10.2174/1871528114666160128150747 SinghB QinN ReidG 2015 Microbiome regulation of autoimmune, gut and liver associated diseases Inflamm Allergy Drug Targets 14 84 93 https://doi.org/10.2174/1871528114666160128150747 Search in Google Scholar

Singh B, Summers K, Barker G et al (2019) Emergence of human immunoprofiling in health and disease. Curr Trends Immunol 20:11–19. SinghB SummersK BarkerG 2019 Emergence of human immunoprofiling in health and disease Curr Trends Immunol 20 11 19 Search in Google Scholar

Wadden JJ (2021) Defining the undefinable: The black box problem in healthcare artificial intelligence. J Med Ethics 48:764–768. https://doi.org/10.1136/medethics-2021-107529 WaddenJJ 2021 Defining the undefinable: The black box problem in healthcare artificial intelligence J Med Ethics 48 764 768 https://doi.org/10.1136/medethics-2021-107529 Search in Google Scholar

Wang X, Fan D, Yang Y et al (2023) Integrative multi-omics approaches to explore immune cell functions: Challenges and opportunities. iScience 26:106359. https://doi.org/10.1016/j.isci.2023.106359 WangX FanD YangY 2023 Integrative multi-omics approaches to explore immune cell functions: Challenges and opportunities iScience 26 106359 https://doi.org/10.1016/j.isci.2023.106359 Search in Google Scholar

Xie J, Luo X, Deng X et al (2023) Advances in artificial intelligence to predict cancer immunotherapy efficacy. Front Immunol 13:1076883. https://doi.org/10.3389/fimmu.2022.1076883 XieJ LuoX DengX 2023 Advances in artificial intelligence to predict cancer immunotherapy efficacy Front Immunol 13 1076883 https://doi.org/10.3389/fimmu.2022.1076883 Search in Google Scholar

Yu J, Peng J, Chi H (2019) Systems immunology: Integrating multi-omics data to infer regulatory networks and hidden drivers of immunity. Curr Opin Syst Biol 15:19–29. https://doi.org/10.1016/j.coisb.2019.03.003 YuJ PengJ ChiH 2019 Systems immunology: Integrating multi-omics data to infer regulatory networks and hidden drivers of immunity Curr Opin Syst Biol 15 19 29 https://doi.org/10.1016/j.coisb.2019.03.003 Search in Google Scholar

Yurina V, Adianingsih OR (2022) Predicting epitopes for vaccine development using bioinformatics tools. Ther Adv Vaccines Immunother 10:25151355221100218. https://doi.org/10.1177/25151355221100218 YurinaV AdianingsihOR 2022 Predicting epitopes for vaccine development using bioinformatics tools Ther Adv Vaccines Immunother 10 25151355221100218. https://doi.org/10.1177/25151355221100218 Search in Google Scholar

Zhang GL, Sun J, Chitkushev L et al (2014) Big data analytics in immunology: A knowledge-based approach. Biomed Res Int 2014:437987. https://doi.org/10.1155/2014/437987 ZhangGL SunJ ChitkushevL 2014 Big data analytics in immunology: A knowledge-based approach Biomed Res Int 2014 437987 https://doi.org/10.1155/2014/437987 Search in Google Scholar

Zheng D, Liwinski T, Elinav E (2020) Interaction between microbiota and immunity in health and disease. Cell Res 30:492–506. https://doi.org/10.1038/s41422-020-0332-7 ZhengD LiwinskiT ElinavE 2020 Interaction between microbiota and immunity in health and disease Cell Res 30 492 506 https://doi.org/10.1038/s41422-020-0332-7 Search in Google Scholar

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