OVERVIEW This methodological treatise introduces a pioneering trans-disciplinary framework designed to address the "granularity gap" in contemporary paediatric stratification. By synthesizing the ancient Ayurvedic phenotypic model of Prakriti with modern systems biology, the author proposes the Constitutional Metabolic Score (CMS) as a novel bio-informatic tool for precision medicine. Key Methodological Innovations: Molecular Operationalization of Ojas: the work redefines the traditional concept of Ojas through the lens of mitochondrial bioenergetics, PNEI (Psycho-Neuro-Endocrine-Immunology) coherence, and epigenetic stability. Constitutional Adaptive Trial Design (CATD): a proposed Bayesian research methodology that utilizes constitutional phenotypes to reduce pharmacogenomic "noise" and optimize therapeutic allocation in paediatric clinical trials. Pharmacokinetic Stratification: the framework identifies specific correlations between Prakriti clusters and the metabolic activity of hepatic cytochrome P450 (CYP450) isoenzymes, offering a pathway toward phenotype-adjusted dosing. Significance This document serves as a foundational "Unicum" for researchers in integrative medicine, paediatric pharmacology, and systems biology, providing the theoretical and regulatory roadmap required to transition from "one-size-fits-all" paediatrics to a personalized, constitutional-based model of care. Legal & Intellectual Property Disclaimer I. NATURE OF THE WORK This document represents a Theoretical Methodological Framework and a proposal for scientific research. It is intended strictly for academic, heuristic, and speculative purposes within the field of integrative medicine. II. NO MEDICAL ADVICE The contents of this treatise do not constitute medical advice, clinical guidelines, or pharmacological prescriptions. The methodologies described (including CMS and CATD) are conceptual constructs that require rigorous clinical validation through experimental trials. No clinical action should be initiated based on this document outside of a controlled, authorized research environment. III. LIMITATION OF LIABILITY The Author disclaims any and all liability for the improper or unauthorized use of the information, models, or theoretical correlations contained herein. IV. INTELLECTUAL PROPERTY & PRIORITY This work is the exclusive intellectual property of Valentina Luongo. The integrity, authorship, and temporal priority of this Version 1.0 are legally protected and certified via Aruba Digital Signature/Timestamp and deposited in the Zenodo (CERN) Open Access Repository. All rights are reserved under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license. Any unauthorized commercial exploitation or modification of the framework is strictly prohibited.
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V. Luongo
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V. Luongo (Thu,) studied this question.
www.synapsesocial.com/papers/69d9e67a78050d08c1b76dfb — DOI: https://doi.org/10.5281/zenodo.19481679