A clinical approach that views the human body not as a collection of isolated organs but as a highly complex, interconnected system of biological feedback loops, regulatory networks, and signaling pathways. This mindset applies principles of engineering, control theory, and data science to diagnose dysfunctions and design precise, multi-variable interventions for optimal health. It is a paradigm shift towards holistic, quantitative human health management.
Origin
This term is a translational concept derived from the engineering discipline of Systems Engineering, which focuses on managing complexity in large-scale projects. Applying this ‘mindset’ to biology emphasizes the need for comprehensive analysis of interactions and emergent properties.
Mechanism
The mechanism of this approach is iterative analysis and modeling, where clinical data is used to map the functional relationships between endocrine, metabolic, and neural subsystems. Interventions are treated as targeted perturbations, and the resulting systemic response is measured to refine the model. This continuous feedback loop ensures that therapeutic actions address root causes rather than merely suppressing symptoms.
We use cookies to personalize content and marketing, and to analyze our traffic. This helps us maintain the quality of our free resources. manage your preferences below.
Detailed Cookie Preferences
This helps support our free resources through personalized marketing efforts and promotions.
Analytics cookies help us understand how visitors interact with our website, improving user experience and website performance.
Personalization cookies enable us to customize the content and features of our site based on your interactions, offering a more tailored experience.