This is the third part of a three-part blog series. You can read the first part here and the second part here.
Introduction
In this final part of the series, I will be using the real-life example of an elderly care field trial in order to explain how we combine different AI techniques, in our case, using the Waylay platform. The DIoTTO project was developed by three partner companies (Studio Dott, Sensolus, and Waylay) and was funded through the Flanders Care Living Labs and supported by the VOKA Health Community. Studio Dott prototyped the app and was leading the overall concept; Sensolus provided sensors for the project, and Waylay worked on data mining and rules implementations.
The Sensor Technology That Can Assess Reproductive Health
A couple of years ago, researchers at the Prague Fertility Center used AI as part of the IVF process. They believed that their work was the first automated technology to use AI to recognize and sort embryos.
Now, a team from Imperial College London and the University of Hong Kong have developed sensor technology that they believe can measure hormones in real time and provide a reliable assessment of fertility.