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Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids
RECRUITINGSponsored by Chongqing University Cancer Hospital
Actively Recruiting
SponsorChongqing University Cancer Hospital
Started2022-01-01
Est. completion2024-04-30
Eligibility
SexFEMALE
Healthy vol.Accepted
View on ClinicalTrials.gov →
NCT06317610
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.
Eligibility
Sex: FEMALEHealthy volunteers accepted
Inclusion Criteria: * Patients must have histologically confirmed diagnosis of epithelial ovarian cancer * Patients received biopsy or puncture to obtain tumor tissues or malignant effusion * Patients voluntarily participated in the study and signed informed consent. Exclusion Criteria: * Non-epithelial ovarian cancer * No sufficient amount of tumor tissues or malignant effusion for organoids establishment.
Conditions2
CancerOvarian Cancer
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Actively Recruiting
SponsorChongqing University Cancer Hospital
Started2022-01-01
Est. completion2024-04-30
Eligibility
SexFEMALE
Healthy vol.Accepted
View on ClinicalTrials.gov →
NCT06317610