AGEoTD: Prediction of the chronological age of a person in different biological trace materials
Recruiting
- Conditions
- no disease/health issue investigated
- Registration Number
- DRKS00030648
- Lead Sponsor
- niversitätsklinikum Freiburg
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Recruiting
- Sex
- All
- Target Recruitment
- 300
Inclusion Criteria
none
Exclusion Criteria
noneFor vaginal fluid and menstrual blood: no unprotected intercourse for 72 h. Otherwise no exclusion criteria
Study & Design
- Study Type
- observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Successful creation of age prediction models to determine the chronological age of a person based on different trace materials.
- Secondary Outcome Measures
Name Time Method Determination of the chronological age of an individual within a mixed trace