I don't want to call your comment ignorant, but you are lacking a lot of the information necessary to see why it's not that easy. For starters: Insulin is quit

I don't want to call your comment ignorant, but you are lacking a lot of the information necessary to see why it's not that easy. For starters: Insulin is quite long acting. Maybe 4 hours for some injected "short-acting" types. Regular insulin (like the one from the pancreas) acts for maybe 6 hours. The ratio of how much insulin you need for a given weight of carbs doesn't stay constant. If you inject too much insulin, if you raise your carb intake, that leads to a higher ratio. Physical exercise modifies the ratio in a short-term fashion. Inflammation, like from a cold or other infection, can raise the ratio significantly. You could model the situation with a bunch of differential equations, and that's what a lot of scientific Most of these variables can't even be estimated precisely enough because there is too little data for too much variation. ML/AI is good at using information in the dataset that is hard to describe or see for Humans. But it can't use information that just isn't in the input data, it's not magic. For Type-2 diabetes there are relatively simple rules that work remarkably well. Type-1 is a lot harder, partly because a lot of the "buffering" of the system dynamics is missing.