Dielectric Spectrum Fingerprints

Alertgy is investigating real-time classification of Dielectric Spectrum Fingerprints which could lead to a shift in the current clinical practice, by introducing non-invasive diagnostic tools that enable monitoring or repeated testing with a fast turnaround. Dielectric Spectrum Fingerprints could be used in the detection of several human and animal disease states.

Alertgy has developed its first quick, inexpensive, non-invasive protype benchtop system which incorporates a dielectric spectrometer with a Radio Frequency (RF) sensor to measure in-vitro samples. Advanced Artificial Intelligence (AI) algorithms are used to detect specific disease states.

Alertgy is working with the Agricultural Research Service (ARS), which is the principal in-house research agency of the United States Department of Agriculture (USDA), to investigate the development of novel diagnostic tests that can provide proof of concept through limited testing on provided samples obtained from live deer relating to Chronic Wasting Disease (CWD). This infectious disease leads to neurodegeneration and ultimately death in cervids including deer, elk, reindeer, and moose. CWD is in the family of transmissible spongiform encephalopathies (TSEs), as is Mad Cow Disease and Creutzfeldt-Jakob disease. Early detection and diagnosis of this disease are vital to prolonged sustainability and eradication of this endemic.

In this presentation, we would like to share some of our thoughts relating to Dielectric Spectrum Fingerprints.