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NCT07376057Not yet recruiting

Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer

Source: ClinicalTrials.gov · Last updated 29 Jan 2026

Brief summary (registry, in English)

The goal of this predictive test is to prospectively test the performance of pre-developed artificial intelligence (AI) predictive model for predicting the time to castration resistance of prostate cancer. Investigators had developed this AI model based on deep learning algorithms in preliminary research, and it performed well in retrospective tests.

Status (registry)
Not yet recruiting
Study type
Observational
Enrollment
150 (estimated)
First submitted
21 Jan 2026
Start date
1 Jan 2026
Primary completion date
31 Dec 2028
Lead sponsor
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
NCT number
NCT07376057

What you commit to

  • Study type: Observational
  • Planned participants: 150
  • From 1 Jan 2026 to the primary completion date, 31 Dec 2028
  • 1 site in 1 country
  • Visits and tests: ask the trial team, the registry does not list them

Built from the registry fields of ClinicalTrials.gov. It describes the study, not your situation.

Who cannot take part

Copied verbatim from ClinicalTrials.gov and grouped by topic. Only the trial team decides who can take part.

Prior treatment

  • Patients with other tumors and undergo systemic therapy .

Other

  • The patient refused to participate in this diagnostic test.

Who the study is looking for

  • Patients are diagnosed with intermediate- to high-risk prostate cancer; undergo prostate biopsy
  • Patients only received endocrine therapy for prostate cancer;
  • Patients with complete clinical and pathological information.
  • Patients agree to participate in this diagnostic test.

Age in the registry: 18 years to - · Sex: Male · Does not accept healthy volunteers

Full criteria on ClinicalTrials.gov

Sites (1)

Sites in registry order. Pick your city on the disease page to sort them by distance.

SiteCityCountrySite status
Sun Yat Sen Memorial Hospital of Sun Yat sen University
Coordinator of this site? Confirm its status
GuangzhouChinaUnknown status

This page is information, not medical advice. Discuss any trial with your doctor.