Abstract
Purpose Complementary and alternative medicine (CAM) therapies often approach health and disease from a holistic viewpoint that is congruent with the contemporary systems biology framework. Conventional biomedical markers and outcomes typically focus on individual components of whole human systems, while ignoring important nonlinear interactions among different components of the system. New analysis tools that are specifically designed to help understand the impact of CAM interventions from a systems biology framework are needed.
Highlights
Complementary and alternative medicine (CAM) therapies often approach health and disease from a holistic viewpoint that is congruent with the contemporary systems biology framework
New analysis tools that are designed to help understand the impact of CAM interventions from a systems biology framework are needed
Based on a dynamical system approach, DataDemon allows the study of physiologic fluctuations with measures that reflect emergent properties of integrative systems
Summary
Complementary and alternative medicine (CAM) therapies often approach health and disease from a holistic viewpoint that is congruent with the contemporary systems biology framework. Conventional biomedical markers and outcomes typically focus on individual components of whole human systems, while ignoring important nonlinear interactions among different components of the system. New analysis tools that are designed to help understand the impact of CAM interventions from a systems biology framework are needed
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