Research of Predictive Factors of in Vitro Fertilization (IVF) Outcome AI-IVF Study (AI-IVF)

March 17, 2025 updated by: Claudia Omes, Fondazione IRCCS Policlinico San Matteo di Pavia

Research of Predictive Factors of in Vitro Fertilization (IVF) Outcome in Women Affected by Autoimmune Disorders: from Biological Markers to Artificial Intelligence

Infertility is the failure to achieve a clinical pregnancy after 12 months or more of regular unprotected intercourse, while subfertility means a delay in achieving pregnancy. Several factors can contribute to these conditions, such as autoimmune diseases like systemic thyroid and celiac diseases, rheumatoid arthritis, systemic lupus erythematosus, and endometriosis. Some of them may overlap, sharing a common immunological milieu.

In this scenario, medically ART can help women carry on pregnancies if they are in stable disease remission and receive adequate treatment. However, the number of oocytes that can be ovulated under stimulation is highly variable, so the outcome of any IVF is linked to many factors, not only biological but also connected to the mean success rate of the fertility center.

For these reasons, the need to find methods for identifying the best gametes and embryos to guarantee a successful pregnancy is becoming pressing. AI can be essential to develop prediction models for pregnancy outcomes for patients undergoing ART treatments.

AI currently represents a modern way to obtain algorithms from a set of observable data that could help clinical decisions

Study Overview

Status

Recruiting

Conditions

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

      • Pavia, Italy, 27100
        • Recruiting
        • SSD Ostetricia e Ginecologia 2 - Fondazione IRCCS Policlinico San Matteo, Pavia
        • Contact:
        • Contact:
          • Claudia Omes, PhD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Women undergoing ART procedures (n= 200, ) at SSD Ostetricia e Ginecologia 2 - PMA of Fondazione IRCCS Policlinico San Matteo, Pavia (Italy)

Description

Inclusion Criteria:

  • Women with age below 43 years old
  • IVF cycle with fresh semen sample that could be used
  • progressive motile spermatozoa expected count of minimum 1 million following density gradient purification on the day of oocyte pick up

Exclusion Criteria:

  • Women with uterine abnormalities
  • Women with chromosomal and genetic abnormalities
  • Positivity to serological test (HCV, HBV, HIV, VDRL-TPHA)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
patients with a positive autoimmune panel
Women undergoing ART procedures with a positive autoimmune panel
patients with a negative autoimmune panel
Women undergoing ART procedures with a negative autoimmune panel

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Predictive algorithm creation
Time Frame: through study completion, an average of 2 years
Probability to achieve a pregnancy
through study completion, an average of 2 years

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Claudia Omes, PhD, Fondazione IRCCS Policlinico San Matteo di Pavia

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 22, 2024

Primary Completion (Estimated)

December 1, 2025

Study Completion (Estimated)

December 1, 2025

Study Registration Dates

First Submitted

February 18, 2025

First Submitted That Met QC Criteria

March 11, 2025

First Posted (Actual)

March 25, 2025

Study Record Updates

Last Update Posted (Actual)

March 25, 2025

Last Update Submitted That Met QC Criteria

March 17, 2025

Last Verified

March 1, 2025

More Information

Terms related to this study

Additional Relevant MeSH Terms

Other Study ID Numbers

  • AI-IVF

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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