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A.I and Machine Learning Based Risk Prediction Model to Improve the Clinical Management of Endometrial Cancer.

NCT06841653 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2025-02-24

No results posted yet for this study

Summary

Prediction of preoperative endometrial biopsy: the evolution from hyperplasia to cancer, the prognosis and the risk of recurrence. Intelligence methods artificial risk will be used to redefine the current risk classes including our profile immuno-mutational to provide a more precise characterization and closer to the real prognosis of the patient.

Conditions

  • Endometrium Cancer

Sponsors & Collaborators

  • University of Rome Tor Vergata

    collaborator OTHER

  • Casa Sollievo della Sofferenza-IRCCS, San Giovanni Rotondo

    collaborator UNKNOWN

  • Universita degli Studi di Palermo

    collaborator OTHER

  • Regina Elena Cancer Institute

    lead OTHER

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-06-20
Primary Completion
2026-06-20
Completion
2026-06-20

Countries

  • Italy

Study Locations

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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 NCT06841653 on ClinicalTrials.gov