Digital twin could revolutionize IVF success predictions
NCT ID NCT07305480
First seen Jun 25, 2026 · Last updated Jun 27, 2026 · Updated 1 time
Summary
This observational study aims to create a digital twin model that predicts whether an embryo will implant successfully during IVF. Researchers will analyze de-identified data from one participant, including clinical, molecular, and biochemical information. The model does not affect treatment decisions and is only used for research. If it works, it may help doctors choose the best embryos for transfer.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could lead to a tool that helps doctors predict which embryos are most likely to implant, potentially improving IVF success rates.
- What could go wrong
- This is a very early, small study with only one participant, so results may not apply broadly. The model is not yet proven and may not improve real-world outcomes.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
Locations
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Ukrainian Association of Biobanks Austria - Digital Twin Lab
Graz, 8010, Austria