Key points from article :
Analysed nearly 2 billion measurements from 60 people, including continuous data from wearables and periodic data from laboratory tests.
Collected data on weight; heart rate; oxygen in the blood; skin temperature; activity, including sleep, steps, walking, biking and running; calories expended; acceleration; and even exposure to gamma rays and X-rays.
Given a baseline range of values for each person, it is possible to monitor deviations and associate them with environmental conditions, illness or other factors that affect health.
Distinctive patterns of deviation seem to correlate with particular health problems.
Algorithms could potentially contribute to clinical diagnostics and research.
The study was published in the PLOS Biology journal.
