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Artificial Intelligence Model for Growth Prediction of Ovarian Cancer Organoids

NCT06317610 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 100

Last updated 2024-03-19

No results posted yet for this study

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

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

Sponsors & Collaborators

  • Chongqing University Cancer Hospital

    lead OTHER

Principal Investigators

  • Dongling Zou, M.D. · Chongqing University Cancer Hospital

Eligibility

Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2022-01-01
Primary Completion
2024-04-30
Completion
2024-05-30

Countries

  • China

Study Locations

More Related Trials

Entities

Diseases

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06317610 on ClinicalTrials.gov