This article discusses how living organisms process and exchange biological information through complex cellular communication networks.
It explains that information flow extends beyond the traditional DNA → RNA → Protein model and involves multiple regulatory mechanisms.
The authors describe cells as information-processing systems that continuously adapt to internal and external environmental changes.
A major focus is placed on entropy, which is presented as a measure of disorder and information loss within biological systems.
The article suggests that healthy tissues maintain low entropy, while disease processes are associated with increased disorder and cellular destruction.
It also examines the concept of biological noise, referring to variations in cellular behavior and gene expression.
The authors propose that physical information fields may play a role in biological communication and tissue regulation.
According to the theory presented, increased information loss correlates with tissue damage, disease progression, and reduced adaptability.
NLS biofeedback technology is described as a method for assessing information flow, noise levels, and functional changes in body systems.
The overall conclusion is that measuring informational and entropic patterns may provide a non-invasive approach to evaluating health and disease.

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