From there, the sensor sends its data to a smartwatch (in this case an Apple Watch) where AI enters. Clock training can detect various signs of Parkinson's, such as tremor, bradykinesia (slow onset of voluntary movement) and dyskinesia (reduced voluntary movement). IBM added that it can use a neural network to accurately detect fingerprint digits, which can help identify health problems associated with cognitive functions and motor skills.
While the sensor was first developed with Parkinson's mind, IBM apparently sees a range of applications that may include detecting the development of many diseases, as well as the effectiveness of treatments intended to slow down these conditions. It has also served as a basis for a quadriplegics communication unit. There is no mention of when this sensor can become a practical reality, but at least it makes sense. Skin sensors are often problematic for older people whose hands and arms can be relatively fragile. A nail sensor will sit in a relatively safe area where you do not have to worry about removal or loose fit.