Clinical Research Directory
Browse clinical research sites, groups, and studies.
Clinical Diagnosis of Diabetes Using Surface-enhanced Raman Spectroscopy Liquid Biopsy and Machine Learning
Sponsor: University Hospital, Aachen
Summary
This project aims to adapt the gold nanoparticle-based surface-enhanced Raman spectroscopy (SERS) technology to clinical application. In this exploratory study, a measurement protocol will be established to investigate whether SERS (combined with multivariate data analysis or machine learning algorithms) allows the diagnosis of patients with diabetes.
Key Details
Gender
All
Age Range
18 Years - 70 Years
Study Type
INTERVENTIONAL
Enrollment
52
Start Date
2024-02-02
Completion Date
2025-07-31
Last Updated
2025-03-06
Healthy Volunteers
Yes
Conditions
Interventions
SERS
Spectroscopic assessment of serum samples from healthy and diabetic patients to identify characteristics for diagnosis.
Locations (1)
RWTH Aachen university hospital
Aachen, Germany