Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2022-06-01
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| Series: | Frontiers in Immunology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fimmu.2022.948885/full |
| _version_ | 1828314994865864704 |
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| author | Xu-jie Zhou Amanda S. MacLeod Amanda S. MacLeod Amanda S. MacLeod Lam Cheung Tsoi Lam Cheung Tsoi Lam Cheung Tsoi |
| author_facet | Xu-jie Zhou Amanda S. MacLeod Amanda S. MacLeod Amanda S. MacLeod Lam Cheung Tsoi Lam Cheung Tsoi Lam Cheung Tsoi |
| author_sort | Xu-jie Zhou |
| collection | DOAJ |
| first_indexed | 2024-04-13T16:53:42Z |
| format | Article |
| id | doaj.art-0dc0b382292649debe29794814d96833 |
| institution | Directory Open Access Journal |
| issn | 1664-3224 |
| language | English |
| last_indexed | 2024-04-13T16:53:42Z |
| publishDate | 2022-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Immunology |
| spelling | doaj.art-0dc0b382292649debe29794814d968332022-12-22T02:38:53ZengFrontiers Media S.A.Frontiers in Immunology1664-32242022-06-011310.3389/fimmu.2022.948885948885Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory ResponsesXu-jie Zhou0Amanda S. MacLeod1Amanda S. MacLeod2Amanda S. MacLeod3Lam Cheung Tsoi4Lam Cheung Tsoi5Lam Cheung Tsoi6Renal Division, Peking University First Hospital; Kidney Genetic Center, Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, ChinaDepartment of Dermatology; Molecular Genetics and Microbiology, Duke University, Durham, NC, United StatesDepartment of Immunology; Molecular Genetics and Microbiology, Duke University, Durham, NC, United StatesJanssen Research and Development, Spring House, PA, United StatesDepartment of Dermatology, University of Michigan, Ann Arbor, MI, United StatesDepartment of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United StatesDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, United Stateshttps://www.frontiersin.org/articles/10.3389/fimmu.2022.948885/fullartificial intelligencebig dataheterogeneityimmune-mediated disordersmulti-omicsprecision medicine |
| spellingShingle | Xu-jie Zhou Amanda S. MacLeod Amanda S. MacLeod Amanda S. MacLeod Lam Cheung Tsoi Lam Cheung Tsoi Lam Cheung Tsoi Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses Frontiers in Immunology artificial intelligence big data heterogeneity immune-mediated disorders multi-omics precision medicine |
| title | Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses |
| title_full | Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses |
| title_fullStr | Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses |
| title_full_unstemmed | Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses |
| title_short | Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses |
| title_sort | editorial advances in using big data and artificial intelligence to understand heterogeneity in inflammatory responses |
| topic | artificial intelligence big data heterogeneity immune-mediated disorders multi-omics precision medicine |
| url | https://www.frontiersin.org/articles/10.3389/fimmu.2022.948885/full |
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