Abstract
Personalised medicine strives to identify the right treatment for the right patient at the right time, integrating different types of biological and environmental information. Such information come from a variety of sources: omics data (genomic, proteomic, metabolomic, etc.), live molecular diagnostics, and other established diagnostics routinely used by medical doctors. Integrating these different kinds of data, which are all high-dimensional, presents significant challenges in knowledge representation and subsequent reasoning. The ultimate goal of such a modelling effort is to elucidate the flow of information that links genes, protein signalling and other physiological responses to external stimuli such as environmental conditions or the progress of a disease.
Connections
Explore this paper’s authors, topics and related work.
Building this map preview
BZPEER is loading the nearby papers, people, topics and institutions for this page.
Reviews 0
Write a review
No reviews yet.
Discussion 0
Add a comment
No comments yet.