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The field of pathology is rapidly transforming from a semi-quantitative and empirical science toward a Big-Data discipline. Large data-sets from across multiple -omics fields may now be extracted from a patient's tissue sample. Tissue is, however, complex, heterogeneous and prone to artefact. A reductionist view of tissue and disease progression, which does not take this complexity into account, may lead to single biomarkers failing in clinical trials. The integration of standardiseddoi:10.1007/978-1-4939-3283-2_4 pmid:26677179 fatcat:uithnzbsuraetn3y4spt52vqd4