The ability to perform a remote sensing of glucose in the blood stream can be very applicable. The novel method presented in this paper is based on two optical approaches both based on the extraction and analysis of the changes in the collected speckle field. The first physical effect used for the detection is the temporal changes of the back scattered secondary speckles produced in the skin due to the changes of the blood stream parameters as a function of the glucose concentration in the blood. These cardio related changes can be analyzed with different machine learning algorithms to enhance the sensitivity of the measurements. The second physical effect assisting in performing the remote glucose sensing is the Faraday rotation effect in which the polarization of linearly polarized light is rotated when scattered from materials exhibiting this effect while being exposed to a magnetic field.