Spatially Resolved Single-Cell and Multiple Omics in Human Diseases

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.

Jen-Tsung Chen is a professor of cell biology at the National University of Kaohsiung in Taiwan. He also teaches genomics, proteomics, plant physiology, and plant biotechnology. Dr. Chen's research interests include bioactive compounds, chromatography techniques, plant molecular biology, plant biotechnology, bioinformatics, and systems pharmacology. He is an active editor of academic books and journals to advance the exploration of multidisciplinary knowledge involving plant physiology, plant biotechnology, nanotechnology, ethnopharmacology, systems biology, and drug discovery. He serves as an editorial board member and a guest editor in several reputed journals. Dr. Chen published books in collaboration with international publishers on diverse topics such as drug discovery, herbal medicine, medicinal biotechnology, nanotechnology, bioengineering, plant functional genomics, plant speed breeding, CRISPR-based plant genome editing, and artificial intelligence. In 2023 and 2024, Elsevier and Stanford University recognized Dr. Chen as one of the "World's Top 2% Scientists".