Biomerica has filed a patent for a system that protects patients from adverse reactions to food ingredients. The system uses medical data and food ingredient information to generate a safety level for the patient to consume the food item. It can then cause a machine to take action or display a recommendation based on the safety level. The system also updates the confidence level data based on the experience history of individuals with adverse reactions to the food item. GlobalData’s report on Biomerica gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Biomerica, Molecular diagnosis biomarkers was a key innovation area identified from patents. Biomerica's grant share as of September 2023 was 21%. Grant share is based on the ratio of number of grants to total number of patents.

A system for protecting patients from adverse food reactions

Source: United States Patent and Trademark Office (USPTO). Credit: Biomerica Inc

A recently filed patent (Publication Number: US20230245757A1) describes a system designed to protect patients from adverse reactions to food ingredients. The system is connected to a machine and includes a memory to store program instructions and a processor to execute these instructions.

The system works by accessing experience data for a user and groups of individuals. For each user, the system receives an indication of a food item and accesses food ingredient data for that item. Using medical data and specialized processing modules, the system derives a first confidence level data indicating the probability of the patient having an adverse reaction to a food ingredient. It also derives a second confidence level data representing the probability that the food ingredient exists in the food item.

To improve accuracy, the system identifies patterns in the group data and correlates them with the probability of the food ingredient being present in the food item. It automatically updates the second confidence level data based on these patterns, using group data that includes the experience history of individuals who have had adverse reactions to the food item.

Based on the first and second confidence level data, the system generates a safety level for the user to consume the food item. It then automatically causes the connected machine to take an action associated with the food item, depending on the comparison of the generated safety level to a threshold level.

The patent also describes additional features of the system. It can derive the first confidence level data from testing the patient for a disease using a food preparation with a reference value. It can also derive the first confidence level data from group data of individuals diagnosed with the same disease as the patient. The system can obtain sensor data representing a food item from a sensor device and derive food ingredient information based on that data.

The connected machine can be a vending machine, self-checkout kiosk, self-order machine, smart phone, smart watch, tablet, or computer. Depending on the determined safety level, the machine can display a notification associated with the risk of an adverse reaction or a recommendation not to consume the food item. It can also restrict access to the item or fail to vend, check out, or process the order of the item.

Overall, this patent describes a system that utilizes data and processing modules to assess the probability of adverse reactions to food ingredients and take appropriate actions to protect patients.

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies