This study introduces the Energy Imbalance Based Cancer
Propagation Algorithm (EIBC-PA), a novel conceptual and mathematical model that
investigates how disruptions in cellular energetic stability can initiate and
propagate malignant transformations. The aim of the study is to provide a
systems-level framework grounded in energy dynamics to better understand cancer
progression. The methodology involves defining gravitational and energetic
thresholds within a hypothetical biological system and simulating the dynamic
response to energy instability through algorithmic propagation rules. Key
findings include the identification of localized energy singularities (ΔE) that
act as catalysts for cascading oncogenic events, and the derivation of
entropy-like thresholds that delineate metastability from malignancy. These
findings suggest that cancer may be governed not solely by genetic mutation
accumulation but also by systemic energy dissipation failures. The model aligns
with principles from systems biology, thermodynamics, and information theory,
and provides a new computational lens through which cancer development can be
interpreted.
Author(s) Details
Cemil Koyunoğlu
Energy Systems Engineering Department, Yalova University, Laboratory
Technician and Veterinary Technician, Istanbul University, Türkiye.
Please see the book here:- https://doi.org/10.9734/bpi/mono/978-81-991027-8-1
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