%0 Journal Article
%T A roadmap towards personalized immunology
%J -
%D 2018
%R https://doi.org/10.1038/s41540-017-0045-9
%X Big data generation and computational processing will enable medicine to evolve from a ¡°one-size-fits-all¡± approach to precise patient stratification and treatment. Significant achievements using ¡°Omics¡± data have been made especially in personalized oncology. However, immune cells relative to tumor cells show a much higher degree of complexity in heterogeneity, dynamics, memory-capability, plasticity and ¡°social¡± interactions. There is still a long way ahead on translating our capability to identify potentially targetable personalized biomarkers into effective personalized therapy in immune-centralized diseases. Here, we discuss the recent advances and successful applications in ¡°Omics¡± data utilization and network analysis on patients¡¯ samples of clinical trials and studies, as well as the major challenges and strategies towards personalized stratification and treatment for infectious or non-communicable inflammatory diseases such as autoimmune diseases or allergies. We provide a roadmap and highlight experimental, clinical, computational analysis, data management, ethical and regulatory issues to accelerate the implementation of personalized immunology
%U https://www.nature.com/articles/s41540-017-0045-9