Ethics and Data in Precision Nutrition: A Roadmap for Responsible Innovation

Area of Science:

• Nutritional Science
• Data Science
• Bioinformatics

Background:

• Precision Nutrition leverages multi-modal data for personalized dietary recommendations.
• Variability in individual responses to nutrition necessitates advanced approaches.
• Ethical and practical challenges hinder the widespread implementation of Precision Nutrition.

Purpose of the Study:

• To present a practical roadmap for responsible innovation in Precision Nutrition.
• To emphasize the critical role of high-dimensional, multimodal, and harmonized data.
• To guide researchers, practitioners, and policymakers in developing Precision Nutrition initiatives.

Main Methods:

• A five-phase roadmap: Data Acquisition, Data Modeling, Data Translation, Data Communication, and Data Evaluation.
• Identification of core challenges within each phase.
• Proposal of initial strategies to address identified challenges.

Main Results:

• A structured framework for enabling Precision Nutrition initiatives.
• Strategies to overcome challenges in data acquisition, modeling, translation, communication, and evaluation.
• A comprehensive approach to responsible innovation in personalized nutrition.

Conclusions:

• The proposed roadmap provides a blueprint for advancing Precision Nutrition.
• Addressing data-related challenges is crucial for realizing the potential of Precision Nutrition.
• This framework supports future research, governance, and practical application of personalized nutrition.