RecruitingNCT06841653

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

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.


Sponsor

Regina Elena Cancer Institute

Enrollment

40 participants

Start Date

Jun 20, 2024

Study Type

OBSERVATIONAL

Conditions

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.


Eligibility

Sex: FEMALEMin Age: 18 Years

Plain Language Summary

Simplified for easier understanding

This study is building and testing an artificial intelligence (AI) model to predict outcomes in patients with endometrial (uterine) cancer or hyperplasia (abnormal thickening of the uterine lining). The AI analyzes tissue samples and patient data to identify who is at higher risk for cancer progression. **You may be eligible if...** - You are over 18 years old - You have been diagnosed with endometrial hyperplasia, endometrioid adenocarcinoma of the uterus, or have a healthy uterus and are undergoing hysterectomy for another benign condition - You are willing to provide written consent for the study and use of your data **You may NOT be eligible if...** - You have other active cancers at the same time - You have an infection of the uterine cavity (pyometra) - Your other medical conditions are poorly controlled - Adequate tissue samples or follow-up data are not available Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Locations(1)

IRCCS National Cancer Institute "Regina Elena"

Rome, Italy

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NCT06841653


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