Application US20190362848 AI Biotech/Diagnostics: Cardio

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Zoe Corporation

Application US20190362848

Published 2019-11-28

Using At Home Measures To Predict Clinical State And Improving The Accuracy Of At Home Measurements/predictions Data Associated With Circadian Rhythm And Meal Timing

Techniques are disclosed herein for using standardized meals and digital devices can be utilized outside a clinical setting to assist in determining/predicting one or more clinical states associated with one or more individuals. Using the technologies described herein, different techniques can be utilized to for using nutritional response measurements. For example, response measurements can be obtained for two fat meals instead of a single fat meal. Data associated with a circadian rhythm (e.g., sleep times, awake times) can also be utilized to improve the accuracy of the measured biomarkers. In other examples, biome data and other data can be utilized.

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1 Independent Claim

1. A method, comprising: receiving data associated with performance of one or more tests in a non-clinical setting, wherein the one or more tests are associated with an identification of one or more nutritional responses; and causing, performance of one or more of the following actions: confirming the data; adjusting at least a portion of the data; adjusting a weighting associated with a machine learning mechanism; or generating one or more of a prediction of a clinical state or a health outcome.