Trials / Unknown
UnknownNCT04543266
Predicting Metastatic Oral Squamous Cell Carcinomas With Molecular Biomarkers Using Machine Learning
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 500 (estimated)
- Sponsor
- The University of Hong Kong · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
Application Management Team: PI - Siu Wai Choi; email - htswchoi@hku.hk Delegates - Chui Shan Chu; email: sunshine.c@connect.hku.hk FollowUpUsers - Chui Shan Chu; email:sunshine.c@connect.hku.hk
Detailed description
Eligibility Criteria: \- patients were diagnosed with a baseline disease of oral squamous carcinoma. Exclusion Criteria: \- N/A Sample size: \- \~500 subjects Source of Data: \- The data, such as age and medical records, would be obtained from Hospital Authority Clinical Management System (HACMS) Statistical analysis: \- machine learning will be applied into analysis plan
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| PROCEDURE | Surgery | Resection of tumors |
Timeline
- Start date
- 2020-09-07
- Primary completion
- 2021-12-31
- Completion
- 2023-12-31
- First posted
- 2020-09-10
- Last updated
- 2020-09-11
Locations
1 site across 1 country: Hong Kong
Source: ClinicalTrials.gov record NCT04543266. Inclusion in this directory is not an endorsement.