Genetically Personalized Food Recommendation System
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Solution Overview
Problem
Current food micronutrient databases provide generic nutrition recommendations based on broad averages, failing to account for individual genetic and medical variations, leading to potential excess or deficiency in nutrient intake.
Innovation Solution
A method for providing genetically personalized food recommendations by mapping individual micronutrients to genetic information, medical data, and therapeutic objectives, using a food micronutrient database to identify optimal food choices based on user-specific needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If generic nutrition recommendations based on broad averages are provided, then the system is simple and easy to operate, but the recommendations do not accurately meet individual nutritional needs
Solution Approach 1:
The patent segments the population into distinct genetic groups based on nutrigenomic profiles. Instead of providing a single generic recommendation, the system divides users into segments with similar genetic characteristics and provides tailored recommendations for each segment, thereby improving accuracy while managing complexity through structured classification.
Solution Approach 2:
The patent applies local quality by providing different nutritional recommendations to different genetic groups. Each group receives customized advice based on their specific genetic makeup, rather than a uniform recommendation. This allows the system to improve precision for each local group while maintaining overall system functionality.
2Reliability
If generic nutrition recommendations are provided, then the database structure is simple, but the recommendations may result in excess or deficiency of nutrients for specific individuals
Solution Approach 1:
The patent performs preliminary action by pre-establishing a comprehensive mapping between nutrigenomic profiles and nutritional recommendations. The database is structured in advance with genetic markers linked to specific nutrient requirements, so that when a user's genetic data is input, the system can quickly retrieve accurate recommendations without complex real-time calculations, thereby improving reliability while controlling complexity.
Data Source
AI summary
A method of providing genetically personalized food recommendations includes storing, in a food micronutrient database accessible through an electronic device, a mapping of individual micronutrients to genetic information, medical information, and therapeutic objectives, a food menu for at least one restaurant, and nutrient data of each menu item on the food menu. The method also includes receiving and storing genetic information, medical information, therapeutic objectives, and dietary preferences of a user. The method also includes receiving input from the user indicating a restaurant where the user plans to eat food, identifying micronutrient(s) that match the genetic information, the medical information, and the therapeutic objectives of the user based on the mapping, identifying menu items that provide the micronutrient(s) and align with the dietary preferences of the user; and outputting to the user a personalized list of food choices at the restaurant that are healthiest for the user.