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

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

200 participants

Study Classification

OBSERVATIONAL

Study Start Date

2024-11-22

Study Completion Date

2025-12-31

Brief Summary

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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

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Detailed Description

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Conditions

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Autoimmune Diseases

Study Design

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Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

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patients with a positive autoimmune panel

Women undergoing ART procedures with a positive autoimmune panel

No interventions assigned to this group

patients with a negative autoimmune panel

Women undergoing ART procedures with a negative autoimmune panel

No interventions assigned to this group

Eligibility Criteria

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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