Unveiling the Hidden Costs – Part 2: Dr. Cemil Koyunoğlu’s Energy Imbalance Based Cancer Propagation Algorithm (EIBC-PA) for Catching the Master Thief
Cemil Koyunoğlu · 2025
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.