Recent achievements in hardware and software developments have enabled
the introduction of a revolutionary technology: in-memory data
management. This technology supports the flexible and extremely fast
analysis of massive amounts of data, such as diagnoses, therapies, and
human genome data. This book shares the latest research results of
applying in-memory data management to personalized medicine, changing it
from computational possibility to clinical reality. The authors provide
details on innovative approaches to enabling the processing,
combination, and analysis of relevant data in real-time. The book
bridges the gap between medical experts, such as physicians, clinicians,
and biological researchers, and technology experts, such as software
developers, database specialists, and statisticians. Topics covered in
this book include - amongst others - modeling of genome data processing
and analysis pipelines, high-throughput data processing, exchange of
sensitive data and protection of intellectual property. Beyond that, it
shares insights on research prototypes for the analysis of patient
cohorts, topology analysis of biological pathways, and combined search
in structured and unstructured medical data, and outlines completely new
processes that have now become possible due to interactive data
analyses.