Strategies in Biomedical Data Science
Driving Force for Innovation
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The ability to apply data science to the biomedical field unlocks the door to boundless innovation and advances in personalized medicine. However, much of the potentially groundbreaking insight big data provides gets lost in translation or goes overlooked due to a lack of transdisciplinary knowledge. Strategies in Biomedical Data Science is the bridge IT professionals need to understand biomedicine, and doctors and researchers need to realize what data and today's advanced technical tools can do for them. This forward-thinking guide for everyone working with biomedical data gives you a way to ...
The ability to apply data science to the biomedical field unlocks the door to boundless innovation and advances in personalized medicine. However, much of the potentially groundbreaking insight big data provides gets lost in translation or goes overlooked due to a lack of transdisciplinary knowledge. Strategies in Biomedical Data Science is the bridge IT professionals need to understand biomedicine, and doctors and researchers need to realize what data and today's advanced technical tools can do for them. This forward-thinking guide for everyone working with biomedical data gives you a way to conceptualize biology, analytics, and IT without having prior training or expertise in any of them. IT and biomedical professionals from the lab to the C-suite will gain a high-level foundation of key concepts in data management and biomedical sciences that enables them to solve real-world human problems and improve patient outcomes. Coverage of cutting-edge applications and technologies throughout the book is reinforced with both case uses demonstrating how they function and case studies looking into how specific organizations use them to overcome challenges. A deep and diverse collection of contributors who practice and study where IT and medicine converge provide a full perspective on the challenges, available solutions, and future potential in the industry. Immediately get a leg up by understanding how to: * Efficiently gather data from disparate data sources for effective analysis * Get the most out of the latest and preferred analytic resources and technical tool sets * Intelligently examine bioinformatics as a service, including the untapped possibilities for medical and personal health devices Data management is the cornerstone of future advances in individualized, patient-specific care, and this complete examination also delves into the operational ways continued advances will evolve medicine, politics, and education, including new professional positions and best practices. Medicine has not had the benefit of big data very long, and Strategies in Biomedical Data Science is your quick and complete jump-start to discover what you have been missing.
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