Predictive Bioharmonics: Dynamic Preimplantation Feasibility Algorithm (DPFA)

Embryo implantation failure in IVF frequently occurs despite apparently normal morphology, genetics, and clinical handling, indicating that implantation feasibility may be dynamically lost long before biological failure becomes observable. This document introduces the Dynamic Preimplantation Feasibility Algorithm (DPFA), a fully deterministic algorithm integrating Predictive Bioharmonics (PB), Unified Drift Saturation principles (CUDSA), Early Path Geometry (EPG), and Dynamic Preimplantation Persistence Algorithm (DPPA) to determine whether embryo implantation is dynamically possible in a given cycle. DPFA does not predict pregnancy, assign probabilities, rank embryos, or introduce biological measurements. Instead, it evaluates whether (i) the embryo’s early internal dynamics are internally coherent, (ii) the embryo has avoided irreversible dynamic collapse, and (iii) a mathematically consistent trajectory exists that allows sustained or recovered stability throughout the preimplantation window. The algorithm operates exclusively on early embryo division timings (t2–t4), is non-invasive, fully deterministic, retrospectively testable, and applicable prospectively as clinical decision support.