A Mechanical Confinement Model for the Origin of Oncogenic Transformation: Decoded through the Logikron Deterministic Causal Framework
We present Logikron, a deterministic causal framework that decodes the Omikron system — comprising the patented Omikron S-Core knowledge base and the Maestro Omikron Orchestra Suite software platform — into an explicit, falsifiable causal architecture proposing that structural tissue damage, and the progressive mechanical confinement it produces, constitutes the originating condition of oncogenic transformation, upstream of and complementary to somatic mutation. The framework integrates principles from biomechanics, non-equilibrium thermodynamics, cellular metabolism, and mathematical methods applied to human biology into a single logical construction, intended to describe, exhaustively and consequentially, the successive stages of tumor progression from initial tissue confinement to advanced clonal divergence. This working paper documents the framework's current state of development, establishes a dated public record of its theoretical foundations, and is enunciated with the explicit and standing availability of its authors for collaboration with research groups pursuing related lines of inquiry, toward joint experimental validation of its central claims. Section 4 outlines, step by step, the falsifiable predictions through which these claims could in principle be confirmed or refuted. The full text of this working paper is currently under restricted access to protect intellectual property prior to formal peer review and experimental validation. Access is granted upon request to academic researchers, clinicians, and institutional representatives interested in discussing the framework or pursuing collaborative experimental validation of the Logikron model.
Authors
- Giorgio Modesti
Institutions
- Laboratory Krone (DE)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-09-15
- DOI
- https://doi.org/10.5281/zenodo.22768707
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00