Nanoparticle surface-enhanced Raman spectroscopy as a tool to monitor hematological malignancy

An article published in Nanomedicine shows the potential for a novel tool to examine the ‘chemical fingerprints’ (Raman spectroscopic profiling) of a cancer patient’s blood, enhanced by gold nanoparticles with a double-referenced machine learning algorithm. This tool hopes to optimize finding clinically important features in the chemical fingerprint, helping patients live more confidently with cancer or in cancer recovery.

Watch this animated video to find out more about the study.

Original article:

Nanoparticle surface-enhanced Ramen spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy.

Stacy Grieve, Nagaprasad Puvvada, Angkoon Phinyomark et al.

Nanomedicine 16(24) (2021) DOI: 10.2217/nnm-2021-0076