System to detect dielectric changes in matter

A method of detecting dielectric changes in matter, comprising:

• obtaining microwave scattering data from a data collection array;
• receiving, by a machine learning device, the microwave scattering data, patient information, and imaging modality data corresponding to at least one of a presence of disease, absence of disease, or one or more disease features;
• analyzing, by the machine learning device, the microwave scattering data, patient information, and imaging modality data;
• outputting, by the machine learning device, at least one of a predicted disease state and predicted features based on the analyzed microwave scattering data, patient information, and imaging modality data;
• comparing, by the machine learning device, the imaging modality data corresponding to the at least one of the presence of disease, absence of disease, or one or more disease features to at least one of the predicted disease state and predicted features;
• and
• using, by the machine learning device, the comparison as an input into the machine learning device.