Network medicine embraces the complexity of multifactorial influences on disease, which can be driven by nonlinear effects and molecular and statistical interactions. The development of comprehensive and affordable -omics platforms provides the data types for network medicine, and graph theory and statistical physics provide the theoretical framework to analyze networks.
