Jen-Tsung Chen
Advanced methods that capture multi-layer molecular data from individual cells transform the understanding of human diseases. By integrating data at the level of individual cells while preserving their position within tissues, these approaches reveal the complex cellular interactions and cues that drive pathology. This holistic view enables researchers to map disease heterogeneity, identify rare or previously unrecognized cell states, and trace the organization of healthy and diseased tissues. As these tools advance, they offer new opportunities to analyze disease mechanisms, refine diagnostics, and guide targeted therapeutic interventions. Spatially Resolved Single-Cell and Multiple Omics in Human Diseases explores current technological developments and recent applications of spatial and single-cell multi-omics for human health management. It examines the integration of intelligent technology to more efficiently utilize multiple omics data. This book covers topics such as biomedicine, drug discovery, and infectious diseases, and is a useful resource for medical and healthcare professionals, biologists, engineers, academicians, researchers, and scientists.
