Fareeha Safir

This paper uses single-cell Raman spectroscopy and machine learning to predict therapeutic response in melanoma, achieving >96% accuracy in cell line classification and 91% accuracy in patient drug resistance inference.

This paper develops a label-free, scalable method for bacterial detection in wastewater using SERS and machine learning, achieving over 85% accuracy at 10^9 cells/mL.