High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine (Hb 2014) Hardcover

Recent breakthroughs in computer hardware and software have led to a game-changing technology: in-memory data management. This technology allows for incredibly fast and adaptable analysis of huge datasets, including medical information like diagnoses, treatments, and human genome data. This book presents the newest research findings on how in-memory data management is being used to make personalized medicine a reality in clinical practice, moving it beyond just a theoretical possibility. The authors explain innovative methods for processing, combining, and analyzing relevant medical data in real-time. By doing so, the book connects medical professionals (like doctors, clinicians, and biological researchers) with technology experts (such as software developers, database specialists, and statisticians). The topics discussed include designing systems for processing and analyzing genome data, handling large volumes of data quickly, securely sharing sensitive information, and protecting intellectual property. Furthermore, the book shares insights into research prototypes for analyzing groups of patients, studying the structure of biological pathways, and performing combined searches across different types of medical data. It also highlights entirely new processes that are now feasible thanks to interactive data analysis. This information is highly relevant for professionals in Noida, Uttar Pradesh, India, and globally who are working at the intersection of medicine and technology.