FindTrial
Sign In

Development of Raman -Based Diagnostic Technology for Early Diagnosis of Sepsis in Premature Infants

Development of a label-free surface-enhanced Raman-based machine learning diagnostic algorithm that can detect sepsis in premature infants early and identify causative bacteria using a small amount of blood

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
CRIS
Registry ID
KCT0008711
Enrollment
120
Registered
2023-08-17
Start date
2023-05-19
Completion date
Unknown
Last updated
2023-08-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

None listed

Sponsors

Asan Medical Center
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: ? Preterm infants less than 1,500 g of birth weight born in Asan Medical Center in Seoul and admitted to the neonatal intensive care unit ? A written consent is voluntarily signed by a parent who has agreed to participate in this clinical trial

Exclusion criteria

Exclusion criteria: ? severe congenital anomaly or chromosomal abnormalities ? If sample collection for study is not possible ? If difficult to conduct a clinical trial by the judgment of researchers

Design outcomes

Primary

MeasureTime frame
Results from Raman spectroscopy;sepsis—

Secondary

MeasureTime frame
Causative bacteria—

Countries

Korea, Republic of

Contacts

Public ContactSung Hyeon Park

Asan Medical Center

1219sh @naver.com+82-2-3010-0065

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026