An emerging role for polystores in precision medicine

Edmon Begoli, J. Blair Christian, Vijay Gadepally, Stavros Papadopoulos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Medical data is organically heterogeneous, and it usually varies significantly in both size and composition. Yet, this data is also a key for the recent and promising field of precision medicine, which focuses on identifying and tailoring appropriate medical treatments for the needs of the individual patients, based on their specific conditions, their medical history, lifestyle, genetic, and other individual factors. As we, and a database community at large, recognize that a “one size does not fit all” solution is required to work with such data, we present our observations based on our experiences, and the applications in the field of precision medicine. We make the case for the use of polystore architecture; how it applies for precision medicine; we discuss the reference architecture; describe some of its critical components (array database); and discuss the specific types of analysis that directly benefit from this database architecture, and the ways it serves the data.

Original languageEnglish
Title of host publicationData Management and Analytics for Medicine and Healthcare - 3rd International Workshop, DMAH 2017 Held at VLDB 2017, Proceedings
EditorsEdmon Begoli, Gang Luo, Fusheng Wang
PublisherSpringer Verlag
Pages41-52
Number of pages12
ISBN (Print)9783319671857
DOIs
StatePublished - 2017
Event3rd International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017 held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017 - Munich, Germany
Duration: Sep 1 2017Sep 1 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10494 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017 held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017
Country/TerritoryGermany
CityMunich
Period09/1/1709/1/17

Funding

Acknowledgments. This manuscript has been in part authored by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. Department of Energy, and under a joint program (MVP CHAMPION), between the U.S. Department of Energy, and the U.S. Department of Veterans Affairs.

Keywords

  • Array database
  • Genomics
  • Polystore
  • Precision medicine

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