Predicting Targeted and Immunotherapeutic Response Outcomes in Melanoma With Single-Cell Raman Spectroscopy and Artificial Intelligence.
This work presents a nondestructive, single-cell approach combining Raman spectroscopy and machine learning that enables rapid cell profiling and therapeutic response prediction and may improve first- and second-line therapy selection assessments for precision medicine.