This book provides an overview of the types, sources, and applications of stem cells in regenerating various ocular tissues, with a perspective on both potential applications of stem cells and possible challenges. The scope of the chapters include both preclinical and clinical applications, including stem cell-derived therapies based on endogenous tissue repair; stem cell transplantation and cell replacement therapy; gene therapy; and in vitro disease modelling. Additionally, the volume presents applications in both anterior and posterior ocular disease, with a particular focus on diseases of the ocular surface, cornea, limbus, and retina, including inherited retinal dystrophies as well as acquired diseases, such as age-related macular degeneration. Regenerative Medicine and Stem Cell Therapy for the Eye is an ideal book for advanced researchers in stem cell and ocular biology as well as clinical ophthalmologists, and will be of interest to readers with backgrounds in developmental biology and bioengineering. This book also Skillfully reviews cutting-edge advances in stem cell biology as applied to regenerative medicine and ocular disease Provides expert viewpoints on key hurdles and challenges to successful implementation of stem cell-derived therapies in the clinical domain Offers a multi-disciplinary, broad understanding of cell-based therapies for ocular diseases by incorporating perspectives from biomedical scientists, physicians, and engineers Examines the connection between cell therapy and gene editing, in particular relation to ocular disease

Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making.

Social computing concerns the study of social behavior and context based on computational systems. Behavioral modeling reproduces the social behavior, and allows for experimenting with and deep understanding of behavior, patterns, and potential outcomes. The pervasive use of computer and Internet technologies provides an unprecedented environment where people can share opinions and experiences, offer suggestions and advice, debate, and even conduct experiments. Social computing facilitates behavioral modeling in model building, analysis, pattern mining, anticipation, and prediction. The proceedings from this interdisciplinary workshop provide a platform for researchers, practitioners, and graduate students from sociology, behavioral and computer science, psychology, cultural study, information systems, and operations research to share results and develop new concepts and methodologies aimed at advancing and deepening our understanding of social and behavioral computing to aid critical decision making.