Cellular senescence comprises diverse cell states emerging across human tissues during aging and disease. Integrating single-cell and spatial multi-omics with AI-driven analyses enables systematic mapping of senescent cell heterogeneity (“senotypes”), revealing tissue-specific programs and microenvironmental interactions. These advances provide frameworks for biomarker discovery and development of targeted senotherapeutic strategies.