Wearables are on the rise currently, when writing this blog, Google recently released its Fitbit Air, rivaling the Whoop. However, most wearables has been until now been measuring essentially the same biomarkers, skin temperature and heart rate. Companies usually compensate for the lack of direct physiological measurements by adding and accelerometer and generating a lot of data, then throwing that to an AI model to predict a all sort of conditions about us. It works, to some extent, but at some point you would need to add a new biomarker to extract more about the human body. Sweat contains loads of information about the human body, the most obvious are electrolytes, but it also contain some metabolites such as lactate and glucose. It also contains traces hormones like cortisol, which is how dogs sense stress signals in humans. It also contains proteins, dead cells, leftover sunscreen, dust, you name it. What makes sweat interesting also make it hard to extract information from. Using ...