Trials / Unknown
UnknownNCT06317610
Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids
Development and Validation of Growth Prediction Model for Ovarian Cancer Organoids Based on Bright Field Image and Deep Learning
- Status
- Unknown
- Phase
- —
- Study type
- Observational
- Enrollment
- 100 (estimated)
- Sponsor
- Chongqing University Cancer Hospital · Academic / Other
- Sex
- Female
- Age
- —
- Healthy volunteers
- Not accepted
Summary
The present study aims to collect early bright field image of patient-derived organoids with ovarian cancer. By leveraging artificial intelligence, this study will seek to construct and refine algorithms that able to predict growth of ovarian cancer organoids.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | growth prediction of ovarian cancer organoids in the frame of bright field image by leveraging AI | biopsy or puncture: Patients received biopsy or puncture to obtain tumor tissues or Malignant effusion for organoids establishment |
Timeline
- Start date
- 2022-01-01
- Primary completion
- 2024-04-30
- Completion
- 2024-05-30
- First posted
- 2024-03-19
- Last updated
- 2024-03-19
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06317610. Inclusion in this directory is not an endorsement.