Towards the identification of disease signatures

Tassos Venetis*, Anastasia Ailamaki, Thomas Heinis, Manos Karpathiotakis, Ferath Kherif, Alexis Mitelpunkt, Vasilis Vassalos

*Corresponding author for this work

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

4 Scopus citations

Abstract

The identification of biological signatures of diseases will enable the development of new biologically grounded classifications of brain diseases, leading to a new systematic understanding of their causes, and new diagnostic tools. In this paper we present the challenges and steps taken towards the identification of disease signatures, through the Medical Informatics Platform of the Human Brain Project, that will expedite diagnosis and lead to more accurate prognosis and objective diagnosis.

Original languageEnglish
Title of host publicationBrain Informatics and Health - 8th International Conference, BIH 2015, Proceedings
EditorsYike Guo Y., Sean Hill S., Karl Friston, Hanchuan Peng, Aldo Faisal A.
PublisherSpringer Verlag
Pages145-155
Number of pages11
ISBN (Print)9783319233437
DOIs
StatePublished - 2015
Event8th International Conference on Brain Informatics and Health, BIH 2015 - London, United Kingdom
Duration: 30 Aug 20152 Sep 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9250
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Brain Informatics and Health, BIH 2015
Country/TerritoryUnited Kingdom
CityLondon
Period30/08/152/09/15

Keywords

  • Data integration
  • Data mining
  • Medical data

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