[danielgomari]

Regarding your first question on recommendations, and potential changes in established interventions (the egg example). In the earlier phases, we will mostly focus on established interventions that affect the metabolome and health and that have already been published by others, such as the DASH diet and exercise regimes. As you build your metabolomic trends over time, we'll then transition into more of our proprietary interventions.

Regarding your discussion of potential confounding factors due to changes in lifestyle parameters (swimming, sunlight etc.). That's an excellent question and important topic. For some metabolites, this does not matter. For example, if your glucose or Hba1c levels go above a certain value, you have diabetes, and it doesn't matter how it got there. For other metabolites, there might indeed be some external factors that influence the results. As you said, maybe you move somewhere cold, your metabolite levels suddenly switch, and the report says "warning". We have two answers for this: (1) For a lot of metabolites, these types of environmental factors and whether or not they play a role have been investigated in research studies and we thus know them. (2) Prior to each test, we will ask for as many lifestyle parameters as possible so we know that a certain change occurred and we can account for those in our analyses. Also over time, as we build our database, we will be able to automatically detect these changes for you and account for them (similar to Apple Watch's movement detector).