Interesting article on a real quantified self / personalized medical testing case study. Three key paragraphs from article: For two-and-a-half years, he's had

Interesting article on a real quantified self / personalized medical testing case study. Three key paragraphs from article: For two-and-a-half years, he's had regular blood samples drawn, and tracked the ebb and flow of 40,000 different molecules within his cells, from hormones to blood sugar, to the proteins of the immune system and mutated genes. Snyder also watched as his genetic vulnerability to diabetes turned into actual disease. Snyder admits that integrating 40,000 pieces of data collected over irregular periods "wasn't so trivial," which is why he and his collaborators hope to narrow the data down to the most telling markers. His next research goal, he says, is to do a similar long-term analysis of 250 people who are at elevated risk for diabetes, so he can watch the disease develop. Eventually, Synder says, he hopes people can analyze a full range of molecular information at birth and then again every six months to catch medical warning flags and make lifestyle or medication changes before problems develop.