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An embryo transfer decision-support tool optimizes live-birth rates in IVF treatments

Project description

A preselection tool for IVF embryos

In vitro fertilisation (IVF) is one of the most common assisted reproductive techniques employed for couples experiencing infertility issues. However, clinical success is limited, with only a fraction of successful pregnancies. The EU-funded IVFMakeSense project proposes to develop a support tool for selecting embryos with a potential to implant and reach live birth. The tool considers various factors including the clinical state of the mother, the number of transfer cycles as well as the quality of the fertilised embryos. The tool is expected to improve IVF pregnancy rates, overcoming the need to implant multiple embryos, which confers a higher health risk for the mother.

Objective

In vitro fertilization (IVF) treatments are markedly inefficient since a significant fraction of embryos lacks the capacity to implant. Even for successfully implanted embryos, one out of nine clinical pregnancies is terminated due to first trimester miscarriage. In general, embryos that harbor certain chromosomal abnormalities leading to early pregnancy loss often permit “normal preimplantation development” that cannot be detectable via human visualization of time lapse images. Since current state-of-the-art algorithms fail to accurately assess the developmental potential of embryos to reach live birth, reasonable pregnancy rates are obtained by transferring more than one embryo to the uterus. However, multiple pregnancy (of more than one embryo), which account for 30-to-40% of all pregnancies (>95% are twins), are associated with a higher health risk to the mother and to the newborn. Here I propose to develop an embryo-transfer decision-support tool (ET-DST) that will analyze all possible embryo-transfer strategies that include multiple transfer cycles of embryos of the same patient. The ET-DST will identify the transfer strategy that optimizes the potential to reach live-birth and shorten time-to-pregnancy by combining multiple classifiers that evaluate the potential of embryos to implant, assess the risk of miscarriage, and predict the optimal day of transfer. The physician/embryologist will be able to set both embryo-specific parameters and maternal labels as follows: (1) a penalty of multiple pregnancies, (2) a cryopreservation factor that reflects the decrease in embryo quality due to verification and thawing compared with fresh transfer, (3) a maternal factor that reflects the clinical background of the patient, and (4) a penalty of multiple transfer cycles. The integration of patient specific parameters will minimize health risks while optimizing live-birth rates and shortening time-to-pregnancy.

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Topic(s)

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ERC-POC - Proof of Concept Grant

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Call for proposal

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(opens in new window) ERC-2020-PoC

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Host institution

THE HEBREW UNIVERSITY OF JERUSALEM
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 150 000,00
Address
EDMOND J SAFRA CAMPUS GIVAT RAM
91904 JERUSALEM
Israel

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Activity type
Higher or Secondary Education Establishments
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Total cost

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No data

Beneficiaries (1)

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