2024
DOI: 10.1101/2024.02.19.581099
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Machine Learning Approaches in Label-Free Small Extracellular Vesicles Analysis with Surface-Enhanced Raman Scattering (SERS) for Cancer Diagnostics

Der Vang,
Maria S. Kelly,
Manisha Sheokand
et al.

Abstract: Early diagnosis remains of pivotal importance in reducing patient morbidity and mortality in cancer. To this end, liquid biopsy is emerging as a tool to perform broad cancer screenings. Small extracellular vesicles (sEVs) found in bodily fluids can serve as important cancer biomarkers in these screenings. Our group has recently developed a nanopipette dielectrophoretic approach to extract sEVs from blood. Herein, we demonstrate the feasibility to integrate this approach with surface-enhanced Raman scattering (… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
references
References 60 publications
0
0
0
Order By: Relevance