The full study is much more interesting: "We devised a machine-learning algorithm that integrates blood parameters, dietary habits, anthropometrics, physical activity, and gut microbiota measured in this cohort and showed that it accurately predicts personalized postprandial glycemic response to real-life meals." http://www.cell.com/cell/pdf/S0092-8674(15)01481-6.pdf
As an example - initially starting dieting, I stayed away from fruit as a vehicle of carbs. Over the past two weeks I have allowed myself bananas, apples, melon and berries as breakfast and afternoon snack. This appears to not 'spike' me as I would have thought but gives me stability.
Night snacking is a killer for me and I have been able to get by with a cup of tea around 2200 with a single biscuit.
Its just been 2 weeks but these two little cheats actually seem to give the diet some stability - for now anyway.
This study is really useful for me.