[General systems theory, analog models and essential arterial hypertension]

Area of Science:

• Systems biology
• Medical cybernetics
• Theoretical medicine

Context:

• General System Theory (GST) application in medicine faces mathematical complexities.
• Arterial hypertension research involves intricate biological and physiological systems.
• Existing models may not fully capture the systemic nature of hypertension.

Purpose:

• To explore the utility of analogical models in applying General System Theory to medicine.
• To propose a novel approach for overcoming mathematical barriers in medical GST.
• To enhance the study and resolution of problems related to arterial hypertension.

Summary:

• The study addresses the significant mathematical challenges encountered when applying General System Theory (GST) in biological and medical fields.
• It proposes the use of analogical models as a viable strategy to circumvent these mathematical complexities.
• This approach aims to facilitate a more effective application of GST to understand and manage arterial hypertension.

Impact:

• Analogical models can bridge the gap between theoretical systems science and practical medical research.
• This methodology may unlock new avenues for investigating complex diseases like arterial hypertension.
• It offers a simplified yet powerful framework for systems-based medical problem-solving.