Clinical Diagnosis of Diabetes Using Surface-enhanced Raman Spectroscopy Liquid Biopsy and Machine Learning
1 other identifier
interventional
52
1 country
1
Brief 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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable diabetes
Started Feb 2024
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 2, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
August 31, 2024
CompletedFirst Submitted
Initial submission to the registry
March 1, 2025
CompletedFirst Posted
Study publicly available on registry
March 6, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
July 31, 2025
CompletedApril 28, 2026
April 1, 2026
7 months
March 1, 2025
April 27, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
SERS measurements to differentiate between healthy and diabetic patients
SERS assessment of healthy and diabetic patient samples to identify unique spectroscopical characteristics to discriminate between healthy and diabetic patients
Through study competition, up to 1 year
Study Arms (2)
Healthy
EXPERIMENTALThe Raman spectra of healthy patient samples will be measured in the presence of gold nanoparticles, which will enhance the spectroscopic characteristics of serum components via near-field enhancements.
Diabetes
EXPERIMENTALThe Raman spectra of diabetic patient samples will be measured in the presence of gold nanoparticles, which will enhance the spectroscopic characteristics of serum components via near-field enhancements.
Interventions
Spectroscopic assessment of serum samples from healthy and diabetic patients to identify characteristics for diagnosis.
Eligibility Criteria
You may qualify if:
- Patient at Nishtar Medical University
- Patient age from 18 to 70 years
- Confirmed disease (for diabetic group)
You may not qualify if:
- Patients with severe concurrent diseases
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University Hospital, Aachenlead
- University of Agriculture Faisalabadcollaborator
- Nishtar Medical Universitycollaborator
Study Sites (1)
RWTH Aachen university hospital
Aachen, 52074, Germany
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NON RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- DIAGNOSTIC
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Group Leader
Study Record Dates
First Submitted
March 1, 2025
First Posted
March 6, 2025
Study Start
February 2, 2024
Primary Completion
August 31, 2024
Study Completion
July 31, 2025
Last Updated
April 28, 2026
Record last verified: 2026-04