US20250069724
2025-02-27
Physics
G16H20/60
The patent discusses a system and method for providing genetically personalized food recommendations. It involves a food micronutrient database that maps individual micronutrients to genetic, medical, and therapeutic data. The system can store restaurant menus and nutrient data for each menu item. Users provide their genetic information, medical history, therapeutic goals, and dietary preferences, which are then used to generate personalized food recommendations at selected restaurants.
This technology relates to food micronutrient databases and the personalization of food recommendations based on genetic data. It aims to move beyond generic nutritional advice by considering individual genetic variations, medical conditions, and dietary goals to offer tailored food choices.
Traditional food micronutrient databases provide general recommendations based on average nutritional needs, which may not suit everyone due to individual differences in nutrient requirements. This can lead to suboptimal nutrition by either exceeding or lacking necessary nutrients. Personalized nutrition seeks to address these limitations by considering unique genetic and medical profiles.
The method involves storing detailed nutrient data and user-specific information in a database. It identifies micronutrients that align with the user's genetic and medical profile and selects restaurant menu items that meet these needs while respecting dietary preferences. The system can also learn from user feedback to refine future recommendations.
The system includes a processor connected to a network, capable of receiving user data and generating personalized food suggestions. It can warn users against certain foods based on their health profile and allows input regarding consumed foods for ongoing refinement of recommendations. The database supports both restaurant menus and home-cooked meal ingredients.