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RECRUITING
NCT06841653

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

Sponsor: Regina Elena Cancer Institute

View on ClinicalTrials.gov

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.

Official title: A.I and Machine Learning Based Risk Prediction Model to Improve the Clinical Management of Endometrial Cancer: a Composite Approach Integrating the MultiOMics IMmune-IConographic Pattern (MOMIMIC Score) Towards Precision Oncology and Surgery.

Key Details

Gender

FEMALE

Age Range

18 Years - Any

Study Type

OBSERVATIONAL

Enrollment

40

Start Date

2024-06-20

Completion Date

2026-06-20

Last Updated

2025-02-24

Healthy Volunteers

No

Locations (1)

IRCCS National Cancer Institute "Regina Elena"

Rome, Italy