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.
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Venetis, T., Ailamaki, A., Heinis, T., Karpathiotakis, M., Kherif, F., Mitelpunkt, A., & Vassalos, V. (2015). Towards the identification of disease signatures. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9250, pp. 145–155). Springer Verlag. https://doi.org/10.1007/978-3-319-23344-4_15
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