- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06872294
Research of Predictive Factors of in Vitro Fertilization (IVF) Outcome AI-IVF Study (AI-IVF)
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
Conditions
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Claudia Omes, PhD
- Phone Number: +390382503238
- Email: c.omes@smatteo.pv.it
Study Locations
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Pavia, Italy, 27100
- Recruiting
- SSD Ostetricia e Ginecologia 2 - Fondazione IRCCS Policlinico San Matteo, Pavia
-
Contact:
- Claudia Omes, PhD
- Phone Number: +390382503238
- Email: c.omes@smatteo.pv.it
-
Contact:
- Claudia Omes, PhD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
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
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
|---|
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patients with a positive autoimmune panel
Women undergoing ART procedures with a positive autoimmune panel
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patients with a negative autoimmune panel
Women undergoing ART procedures with a negative autoimmune panel
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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
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through study completion, an average of 2 years
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Claudia Omes, PhD, Fondazione IRCCS Policlinico San Matteo di Pavia
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
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)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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