
This study presents a theoretical and interdisciplinary framework that explores signal modulation, resonance phenomena, and wave–based interactions in atomic and cellular systems. Drawing on concepts from quantum theory, electromagnetic wave mechanics, and LC resonant circuits, the work proposes an abstract model for interpreting information transfer and energy synchronization within biological structures. Parkinson’s disease is considered solely as a conceptual reference case to illustrate how resonance–based mechanisms may be mathematically and physically modeled at the cellular level. The proposed approach does not claim clinical validation or therapeutic application, but rather aims to contribute a speculative framework that may support future computational modeling, signal–processing studies, or hypothesis generation at the interface of applied physics and biomedical science. This work is theoretical in nature and does not present clinical data, medical trials, or validated therapeutic outcomes.
Electromagnetic resonance; LC-synapsis model; Signal processing; Cellular communication; Wave-based modeling; Parkinson's disease (theoretical); Applied science framework
Electromagnetic resonance; LC-synapsis model; Signal processing; Cellular communication; Wave-based modeling; Parkinson's disease (theoretical); Applied science framework
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