@inbook{176db02d4a2449aea8f8ad468adc4496,
title = "Medicine: The future of medical genomics, healthcare, and wellness",
abstract = "Recent advances in genomics have led to the rapid and relatively inexpensive collection of patient molecular data including multiple types of omics data. The integration of these data with clinical measurements has the potential to impact on our understanding of the molecular basis of disease and on disease management. Systems medicine is an approach to understanding disease through an integration of large patient datasets. It offers the possibility for personalized strategies for healthcare through the development of a new taxonomy of disease. Advanced computing will be an important component in effectively implementing systems medicine. In this chapter we describe three computational challenges associated with systems medicine: disease subtype discovery using integrated datasets, obtaining a mechanistic understanding of disease, and the development of an informatics platform for the mining, analysis, and visualization of data emerging from translational medicine studies.",
keywords = "Disease subtyping, P4 medicine, Patient stratifi cation, Systems medicine, Translational informatics",
author = "Mansoor Saqi and Johann Pellet and Irina Roznovat and Alexander Mazein and St{\'e}phane Ballereau and {De Meulder}, Bertrand and Charles Auffray",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media New York 2016.",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-1-4939-3283-2_3",
language = "English",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "43--60",
booktitle = "Methods in Molecular Biology",
}