So, AI can do a lot of things. But it needs input data. So I was thinking, do we currently have any technology that could generate metrics that an AI might be able to train on such that it could estimate calories gotten from a meal. Not what was in the food, but what the body actually absorbed.
Obviously it could be used to make a killer diet tracking app. Cause tracking what you eat is the worst part.
And collecting the metric doesn’t have to be “practical” today. This is just more of a thought experiment. So if currently it would require multiple blood tests per day or something, that would still be interesting to me.
You could probably get quite a bit of useful data by doing gas-chromatography mass-spectrometry on someone’s breath and/or sweat.
Of course, you can’t put a GC-MS in an app, but you explicitly stated that “practicality” was not a concern :)
Hm, I don’t know much detail about those thing. My base knowledge is that those tests would help determine how much of what molecules? was in your breath. But how does that connect to what you absorbed from food?