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Praise for Strategies in Biomedical Data Science "There is no doubt that Biology and Medicine are now fundamentally 'Data Sciences' and that the greatest breakthroughs will come from individuals and organizations who have learned how to integrate and master the digital universe of biomedical data. This book offers practical insights and examples on how to leverage emerging technologies to solve the biomedical data science challenges of today and tomorrow." --Joel T. Dudley, PhD, Director, Center for Biomedical Informatics, Mount Sinai School of Medicine; Assistant Professor, Department of…mehr

Produktbeschreibung
Praise for Strategies in Biomedical Data Science "There is no doubt that Biology and Medicine are now fundamentally 'Data Sciences' and that the greatest breakthroughs will come from individuals and organizations who have learned how to integrate and master the digital universe of biomedical data. This book offers practical insights and examples on how to leverage emerging technologies to solve the biomedical data science challenges of today and tomorrow." --Joel T. Dudley, PhD, Director, Center for Biomedical Informatics, Mount Sinai School of Medicine; Assistant Professor, Department of Genetics and Genomic Sciences, Mount Sinai School of Medicine; Co-founder and Scientific Advisor, Ontomics, Inc. "At the heart of all quality science is quality data. Jay's book takes a brilliant step forward in sharing and defining best practices for modern healthcare data and bioinformatics." --Daniel Rogers, PhD, Department of Anthropology, National Museum of Natural History, Smithsonian Institution "A scalable pool of reusable IT Infrastructure is the foundation for the data analytics powering next-generation healthcare. While there are many determining factors driving health informatics, composable infrastructure is critical in creating the economics necessary for pervasive patient and social benefits." --Steve Tepedino, President and CEO, IT Partners
Autorenporträt
JAY A. ETCHINGS is the director of operations at Arizona State University's Research Computing program, where he is responsible for developing innovative architectures to progress fluid technical environments supporting highly computational workloads, peta-scale data analysis, next-generation cyber capabilities, and emerging network innovations.