PhytoIntelligence Framework: A Comprehensive AI-Driven Approach for Nutraceutical Design
Year: 2025
Type: article
Abstract: Traditional nutraceutical development often relies on empirical methods, resulting in inconsistent efficacy and safety. This paper presents the PhytoIntelligence framework—an AI-assisted methodology that integrates advanced literature search, clinical validation, pharmacokinetics, synergy analysis, and regulatory compliance to optimize the formulation of certified vegan and organic multi-molecule supplements. Based oninitial observations of current limitations, our research question asks: Can an AI-drivensystematic approach improve the design and efficacy of nutraceutical formulations? Wehypothesize that integrating these processes will enable superior product outcomes. The paper details the mathematical framework and standardized reporting template that underpin the methodology, and demonstrates its application via an example report on Z-16, a novel supplement for Alzheimer’s prevention and cognitive health.
Author: Landry, Marie Seshat
Language: English
Subfield: Nutrition and Dietetics
Field: Nursing
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6967978229
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