- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05455281
Performance of CHLOE Algorithm on the Prediction of Blastocyst Formation (CHLOE)
March 3, 2025 updated by: Fairtility
A Pilot, Observational, Prospective Study to Evaluate the Performance of CHLOE Algorithm on the Prediction of Blastocyst Formation in Women Undergoing In-vitro Fertilization
This is an observational, prospective, single-arm, multi-center, clinical study to evaluate the performance of CHLOE, an Artificial Intelligence (AI)-based software application, as adjunct information to support identifying embryos on Day 3 that are most likely to form blastocysts.
Study Overview
Detailed Description
The study is an observational, prospective, single-arm, multi-center, clinical study in order to evaluate the performance of CHLOE, an Artificial Intelligence (AI)-based software application, as adjunct information to support identifying embryos on Day 3 that are most likely to form blastocysts on Day 5.
Study Type
Observational
Enrollment (Actual)
55
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
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Jerusalem, Israel, 12000
- Hadassah University Hospital
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Florida
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Margate, Florida, United States, 33063
- IVF Florida
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Minnesota
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Rochester, Minnesota, United States, 55905
- Mayo Clinic
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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
18 years and older (Adult, Older Adult)
Accepts Healthy Volunteers
No
Sampling Method
Probability Sample
Study Population
Women undergoing fresh IVF treatment
Description
Inclusion Criteria:
- Women undergoing fresh IVF treatment using their own eggs
- At least 18 years of age
- Total antral follicle count (AFC) of at least 12 as measured by ultrasound prior to stimulation (in cases where AFC is performed)
- Basal day 3 follicle-stimulating hormone levels (FSH) < 10 IU
- At least 8 normally fertilized eggs at pronuclear (2PN) stage
- Fertilization using only ejaculated sperm (fresh or frozen) - no surgically removed sperm
- At least 2 cells embryo
- At least part of the embryos were cultured until Day 5 (i.e., 114-116 hours)
- IVF treatment cycles were performed during 2020-2021
Exclusion Criteria:
- Use of re-inseminated eggs
- Embryos that underwent day 3 biopsy for preimplantation genetic testing (PGT)
- Gestational carriers
- Concurrent participation in another clinical study
- Previous enrollment in this clinical study (i.e., previous cycles of the same women)
- History of cancer
- Embryos that underwent biopsy at cleavage stage
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
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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The association between the adjunct prediction using CHLOE of blastocyst outcome and the actual blastocyst outcome for a subset of good/fair embryos
Time Frame: 3 days
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The prediction of blastocyst outcome using CHLOE algorithm, and the actual blastocyst outcome for a subset of good/fair embryos will be measured using odds ratio.
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3 days
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The association between the adjunct prediction using CHLOE of blastocyst outcome and the actual blastocyst outcome for all embryos
Time Frame: 3 days
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The prediction of blastocyst outcome using CHLOE algorithm, and the actual blastocyst outcome for all embryos will be measured using odds ratio.
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3 days
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Blastocyst formation using traditional human morphology only for all embryos
Time Frame: 3 days
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The prediction of blastocyst outcome using traditional human morphology only, and the actual blastocyst outcome for all embryos will be measured using odds ratio.
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3 days
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Blastocyst formation based on the CHLOE algorithm prediction for a subset of good/fair embryos
Time Frame: 3 days
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The prediction of blastocyst outcome using the CHLOE algorithm for each individual embryologist will be measured using odds ratio for a subset of good/fair embryos.
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3 days
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Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Investigators
- Study Director: Yossi Gilgun-Sherki, PhD, MBA, Head of Clinical and Regulatory Affairs
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)
July 27, 2022
Primary Completion (Actual)
June 27, 2023
Study Completion (Actual)
July 27, 2023
Study Registration Dates
First Submitted
June 29, 2022
First Submitted That Met QC Criteria
July 7, 2022
First Posted (Actual)
July 13, 2022
Study Record Updates
Last Update Posted (Actual)
March 25, 2025
Last Update Submitted That Met QC Criteria
March 3, 2025
Last Verified
March 1, 2025
More Information
Terms related to this study
Other Study ID Numbers
- FRT-01-22
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
IPD Plan Description
Study protocol and Statistical Analysis Plan (SAP) will be shared
IPD Sharing Time Frame
Once study will be completed.
IPD Sharing Access Criteria
Once study will be completed.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
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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