The 2017-18 COH-Raman team aimed to reduce the collection time for Raman spectra of breast tissue to 1-3 seconds. This spectral database was analyzed using machine learning algorithms to display the probability of breast cancer. The spectral analysis is driven by understanding the bio-chemical markers that are evident in each unique Raman spectrum. The team also investigated Surface Enhanced Raman Spectroscopy (SERS) to enhance the Raman spectra. Additionally, the team worked on combining Raman diagnostics with laser ablation treatment.