This paper reviews theory of DNB (Dynamical Network Biomarkers) and its applications including both modern medicine and traditional medicine. We show that omics data such as gene/protein expression profiles can be effectively used to detect pre-disease states before critical transitions from healthy states to disease states by using the DNB theory. The DNB theory with big biological data is expected to lead to ultra-early precision and preventive medicine.
Keywords: Bifurcation; Disease state; Dynamical network biomarker; Early warning signals; Healthy state; Pre-disease state; Tipping point; Ultra-early medicine.
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