Editorial: Advances in Using Big Data and Artificial Intelligence to Understand Heterogeneity in Inflammatory Responses

Affiliations

Xu-jie Zhou: Renal Division, Peking University First Hospital; Kidney Genetic Center, Peking University Institute of Nephrology; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China
Amanda S. MacLeod: Department of Dermatology; Molecular Genetics and Microbiology, Duke University, Durham, NC, United States
Amanda S. MacLeod: Department of Immunology; Molecular Genetics and Microbiology, Duke University, Durham, NC, United States
Amanda S. MacLeod: Janssen Research and Development, Spring House, PA, United States
Lam Cheung Tsoi: Department of Dermatology, University of Michigan, Ann Arbor, MI, United States
Lam Cheung Tsoi: Department of Computational Medicine & Bioinformatics, University of Michigan, Ann Arbor, MI, United States
Lam Cheung Tsoi: Department of Biostatistics, University of Michigan, Ann Arbor, MI, United States

Abstract

No abstracts available.

ISSN: 1664-3224 (Online)
Publisher: Frontiers Media S.A.
Country of publisher: Switzerland
LCC subjects: Medicine: Internal medicine: Specialties of internal medicine: Immunologic diseases. Allergy
Website: http://journal.frontiersin.org/journal/immunology