RESEARCH FOCUS
Characterization of immune cell heterogeneity and cell-cell interactions at single-cell resolution is critical for understanding the fundamental mechanisms used by immune cells to promote or prevent disease progression and response to treatment. Single-cell multi/spatial-omics technology, an ideal tool for immunology, is rapidly advancing and generating big, complex and heterogeneous datasets, which poses significant challenges on data analysis and integration, meanwhile also provides opportunities for the development of data-driven, bio-inspired artificial intelligence (AI).