Personalised Medicine: Taking a New Look at the Patient
Scutari, Marco
Original · EN
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.
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