TLMM v7. 5 presents an integrated conceptual framework for Precision Structural Medicine, extending previous TLMM releases into a unified deployment-oriented architecture. The framework organizes the complete lifecycle of precision structural medicine, including mechanistic hypothesis formulation, multi-domain validation, adaptive response modeling, sequential policy optimization, runtime safety, deployment readiness assessment, and continuous learning within a single structurally consistent framework. Key features include: Unified mechanistic framework (M1–M25) Unified validation taxonomy (V1–V25) Adaptive response modeling (tolerance, compensation, sensitization, maladaptation) Counterfactual policy evaluation Sequential adaptive policy optimization Runtime safety guardrails Clinical deployment readiness assessment Federated deployment concepts Continuous adaptive learning Explicit separation between canonical and illustrative components for reviewer-safe scientific communication Canonical numerical summaries are generated from a single source-of-truth constants module, ensuring consistency across validation summaries, rankings, dashboards, and manuscript figures. This repository contains: Final manuscript (PDF) Editable manuscript (DOCX) README Canonical constants module (tlmmᵥ75constants. py) Demonstration script (tlmmᵥ75demo. py) License (CC BY 4. 0) This work represents a conceptual systems framework intended for scientific communication and future validation. Illustrative figures and generated outputs are explicitly identified and do not constitute empirical clinical evidence, treatment recommendations, or medical advice.
Koji Okino (Sat,) studied this question.