The modern era of nutrigenomics has been a hot topic for 20 years, but delivering on the promise has yet to be realized. Eric Topol provides insights about the challenges and a potential solution (https://www.nytimes.com/…/diet-artificial-intelligence-diab…).
The key section is:
…But that is a single type of data. What we really need to do is pull in multiple types of data — activity, sleep, level of stress, medications, genome, microbiome and glucose — from multiple devices, like skin patches and smartwatches. With advanced algorithms, this is eminently doable. In the next few years, you could have a virtual health coach that is deep learning about your relevant health metrics and providing you with customized dietary recommendations…