We developed an algorithm that predicts people's glucose responses to meals based on their microbiome composition and other health metrics, achieving a correlation of 0.68, which is significantly better than previous methods.

Participants logged their food intake using an app, allowing us to analyze their dietary habits alongside their glucose responses for a comprehensive understanding of personalized nutrition.

Current research is focusing on measuring insulin responses to different food types, which could provide insights into personalized dietary recommendations.

Individual responses to dietary interventions vary significantly, suggesting that personalized nutrition could be key to effective weight management and health outcomes.

I believe that the company that cracks the personalization in food will be the long-term winner, similar to what Amazon and Netflix have done in their respective industries.

The future of personalized health will involve a system that connects genetic data with lifestyle factors to provide tailored health recommendations.

The human microbiome plays a crucial role in how individuals respond to nutrition, and it can be altered, unlike genetics, which opens up possibilities for improving health through dietary changes.

Long-term studies are being conducted to follow the microbiome changes in participants over six months to a year, which will provide exciting data on the effects of diet on gut health.

Our flagship study, funded by philanthropy, aimed to understand how a high fiber diet versus a diet rich in live microbes affects the microbiome and immune system.