Forensically, the technology can individualize and help on the identification of human burned remains in cases of mass disaster
Clinically, It can distinguish malignant tissues from noncancerous/normal tissues and can assess tumor margins or sentinel lymph nodes during an operation. At the biomolecular level, it may help detect the biomarker on the tumor surface as well as evaluate the efficacy of anticancer drugs. Therefore, with a machine-learning, the three parameters (diagnosis, type and treatment efficacy) can be solved with less time consuming, and more accuracy.
Both are in research and prototyping stage.