The Algorithm That Creates Diets That Work for You
It crunches hundreds of factors to make personalized plans for controlling blood sugar. Some people even get cake and cookies.
Shannon Stapleton / Reuters
Take a slice of cake and cut it in two. Eat one half, and let a friend scoff the other. Your blood-sugar levels will both spike, but to different degrees depending on your genes, the bacteria in your gut, what you recently ate, how recently or intensely you exercised, and more. The spikes, formally known as postprandial glycemic responses or PPGR, are hard to forecast since two people might react very differently to exactly the same food.
But Eran Elinav and Eran Segal from the Weizmann Institute of Science have developed a way of embracing that variability. By comprehensively monitoring the blood sugar, diets, and other traits of 800 people, they built an algorithm that can accurately predict how a person's blood-sugar levels will spike after eating any given meal.
They also used these personalized predictions to develop tailored dietary plans for keeping blood sugar in check. These plans sometimes included unconventional items like chocolate and ice-cream, and were so counter-intuitive that they baffled both the participants and dieticians involved in the study. But they seemed to work when assessed in a clinical trial, and they hint at a future when individuals will get personalized dietary recommendations, rather than hewing to universal guidelines.
Currently, the most common method for forecasting a person's PPGR is to look at the carbohydrate content of their meals. People with type I diabetes determine how much insulin to inject based on the amount of carbs they're going to have in the meal, says Segal. That's the gold standard, but carb content only weakly correlates with PPGR.
Alternatively, people could consult the glycemic index (GI), which puts a number on a food's effect on blood sugar. But ...
http://www.theatlantic.com/science/archive/2015/11/algorithm-creates-diets-that-work-for-you/416583/