Carlos Simón presents a new embryo-transfer technique, starting from a problem: first-ET-cycle rates remain low, and this — by US data — is a stable, not a chance, picture.
Even with a good embryo and a prepared endometrium, a substantial share of first transfers does not lead to pregnancy. Simón proposes to seek a reserve in the moment of transfer itself.
The central idea is the concept of "direct embryo transfer" (direct ET): delivering the embryo not into the cavity, from which it must find its own place, but more precisely.
The technological basis is microfluidics: controlled introduction of the embryo directly into the endometrial stroma, intended to raise implantation precision.
This approach changes the usual transfer paradigm: instead of "releasing the embryo into the cavity" — a directed, reproducible delivery to the optimal spot.
In parallel, Simón stresses the role of artificial intelligence in embryo selection: an objective, big-data-based assessment reduces the embryologist's subjectivity.
The combination of "AI selection + precise delivery" is an attempt to improve both which embryo we transfer and how exactly we transfer it.
Simón also speaks of the innovation infrastructure: the Carlos Simón Foundation develops several startups (including Premium Fertility), turning research ideas into clinical products.
Launching clinical trials in two Spanish clinics moves the concept from the lab into testable practice — with real patients and outcome control.
Nevertheless the direction is telling: it returns attention to an under-rated step — the act of transfer itself, long considered "solved."
The practical sense for clinics is to follow these studies and not to regard transfer technique as static: an efficiency gain is possible here without changing stimulation.
Simón places direct ET within a broader trend: reproduction increasingly borrows engineering solutions — microfluidics, automation, AI — that once seemed remote from the embryology clinic.
For the practising clinician the sober conclusion matters: the method is still at the research stage, but the very fact that a "solved" transfer step has again become a subject of innovation is worth keeping in view.
The upshot: low first-transfer rates are a spur to innovation; combining AI embryo selection with microfluidic direct delivery may raise effectiveness, but for now it is a promising hypothesis under clinical evaluation.
How much of IVF failure happens after the transfer catheter leaves the cervix? An unpublished preview of next-generation embryo transfer — robotic microfluidic injection into a defined endometrial pocket under image guidance, on the way to first-in-human trials.
Professor of Obstetrics and Gynecology at the University of Valencia and Founder of the Carlos Simón Foundation for Research in Women's Health. Internationally recognized for his pioneering work on the human endometrium and endometrial receptivity, including the development of the Endometrial Receptivity Array (ERA). Recipient of the ASRM Distinguished Researcher Award and author of more than 500 scientific publications.
Author of the lecture "Direct embryo transfer: a new automated technique"