AI can enhance our understanding of organ clocks, allowing us to assess the aging of vital organs and integrate this data with polygenic risk scores to better predict health outcomes.

In a recent study, we found that a specific region in the microbiome's genome correlates with being thinner, suggesting a mechanistic connection between the microbiome and human health.

We have made significant strides in understanding aging through data, yet we have not effectively used this knowledge to prevent diseases like cancer and cardiovascular issues.

The collaboration between different research groups at Stanford has been essential for studying the impact of diet on the microbiome and human health, allowing for comprehensive human studies. We can monitor hundreds to thousands of different parameters in the immune system longitudinally from a blood draw, allowing us to see how the immune system changes in concert as we change the microbiome with diet.

Artificial intelligence will help us discover the genetic basis of aging, potentially leading to the identification of the 'Fountain of Youth' and the ability to reverse aging.

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.

Understanding the exposome, which includes all the environmental factors affecting health, is crucial for predicting health outcomes more accurately than genetics alone.

There's a growing field focused on reprogramming the gut microbiome, which is more malleable than our human genome, making it easier to change gut microbes for health improvements.

The integration of genetic information with health biomarkers will lead to more accurate predictions of health outcomes, moving beyond traditional methods.