We apply engineering tools to extract the dynamical information from the data, reveal key regulatory mechanisms that determine the healthy or disease states, and to design effective personalised treatment strategies. Given that most diseases are caused by malfunctioning of intrinsic dynamical regulatory mechanisms across cellular, organ, and behavioural levels, we develop mechanistic models that describe dynamical behaviour of the system across different temporal and spatial scales.

We also develop methodologies to understand the original regulatory mechanisms in non-disease states, analyse and predict dynamical systems behaviour in disease states, and use them for accurate assessment and effective treatment.

We aim to establish a theoretical basis for biological control, to reinterpret the various phenomena in biological systems from the viewpoint of control, and to reveal the sophisticated design principles that are responsible for the plasticity of biological systems. Since the ability of biological control systems far exceeds that of many conventionally designed engineering systems, intrinsic understanding of the essential design principles of biological control systems may require new notions and a new theory for biological control.

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