Fertility
Study reveals how assisted reproduction affects placenta and child’s growth

Approximately one in six couples trying to have a child experiences infertility. Each year, over five percent of children in Finland are born with the help of Assisted Reproductive Technology (ART), and to date, over ten million children worldwide have been conceived using these techniques.
Although ART-conceived children are generally healthy, a slightly increased risk of growth disturbances as well as cardiovascular, metabolic, and neurodevelopmental disorders has been observed. The underlying causes of the risks, and whether they result from the ART procedures or parental subfertility, are unknown.
To understand the molecular mechanisms behind ART-associated risks, researchers have examined newborns and placentas from 80 ART and 77 spontaneous pregnancies. When the placentas were compared, they considered different ART methods as well as the children´s sex for the first time.
The placenta has proven to be an extremely fascinating organ which connects the mother and the foetus, mediates environmental effects on the foetus and influences foetal development.
“The placenta offers a unique window into the very early developmental stages, which are otherwise difficult to study in human”, says associate professor Nina Kaminen-Ahola, the leader of the study in the University of Helsinki.
Frozen embryo transfer resembles natural pregnancy
Genome-wide placental gene function and DNA methylation, the most well-known epigenetic mark involved in gene regulation, were examined. Also, potential connections between the observed changes and the placental weight as well as newborns’ weight and height were studied.
One of the most interesting findings concerned the two commonly used ART methods, fresh and frozen embryo transfer. In the fresh embryo transfer, the IVF-fertilised embryo is transferred directly from the culture dish into the uterus, while in the frozen embryo transfer the embryo is frozen for a varying period before the transfer.
Several studies have discovered that placentas and children from fresh embryo transfer are smaller on average compared to those from frozen embryo transfer. This was also the case in the current study. Particularly, it was seen that the observed changes related to metabolism and growth were specific only to placentas from fresh embryo transfers.
“Almost all placentas from frozen embryo transfers had been transferred into the uterus during the mother’s natural cycle, rather than during an artificial hormone surge as in the case with fresh embryo transfers. Consequently, the onset of pregnancy in these cases resemble more spontaneous pregnancies,” explains Pauliina Auvinen, the doctoral researcher on the project.
Altered gene is linked to obesity and diabetes
In addition, the researchers identified altered function of a gene called DLK1. The expression of this gene was reduced in both ART placentas and in placentas from pregnancies of subfertile couples who had applied for fertilization treatment but who got pregnant spontaneously.
The DLK1 gene regulates metabolism and has been associated previously with obesity and type 2 diabetes. Additionally, it can have a role in maternal physiological adaptations to pregnancy.
According to a previous mouse study, Dlk1 is essential for proper maternal fasting response during pregnancy, enabling the switch to using fat for energy resource and thereby securing foetal growth. Silencing of Dlk1 was also associated with the offspring’s lower birth weight.
Kaminen-Ahola says that the silencing of DLK1 gene has also been linked to low birth weight in humans.
“The role of this gene in subfertility and the increasing metabolic disorders such as obesity and type 2 diabetes,” needs to be further clarified.
More research needed
Despite the significant new results, more samples need to be collected to better understand the effects of the different fertility treatment methods, subfertility, and sex on the children´s development and health. In addition, understanding the long-term impact of ART requires long-term monitoring of the children.
“Based on the results, it will be possible to improve ART treatments and understand the causes of sub- and infertility. We are continuously collecting more samples, and we warmly thank all the families for participating in the epiART study,” said Kaminen-Ahola.
Fertility
AI could transform ovarian care through personalisation, study finds

AI could transform ovarian care by personalising cancer and fertility treatment, but more clinical validation is needed before routine use.
A systematic review and meta-analysis found AI models showed high diagnostic accuracy for ovarian cancer when combining data such as ultrasound scans and blood test results.
Across 81 studies, AI models correctly identified ovarian cancer in around nine out of 10 cases, with pooled rates of 89 to 94 per cent.
They were also highly accurate at ruling out ovarian cancer when it was not present, with specificity of 85 to 91 per cent.
The analysis also found that explainable AI tools could predict complete surgical cytoreduction in advanced ovarian cancer.
Complete surgical cytoreduction means removing all visible cancer during surgery, which can be an important goal in treatment planning.
The tools achieved a pooled AUC of 0.87. AUC is a measure of how well a model distinguishes between different outcomes, with higher scores showing stronger performance.
In reproductive medicine, AI algorithms helped physicians optimise ovarian stimulation protocols and predict follicular growth during IVF.
Ovarian stimulation is the use of hormones to encourage the ovaries to produce eggs, while follicles are the small sacs in the ovaries where eggs develop.
The review found AI could reliably model ovarian response in IVF with a pooled AUC of 0.81.
However, researchers said challenges remain in translating promising research findings into routine clinical practice.
They identified substantial variation across studies, driven by retrospective study designs, variable AI systems and a lack of standardised validation.
Only 22 per cent of analysed studies reported prospective, multicentre external validation, where models are tested forward in time across multiple healthcare settings.
The authors called for rigorous validation to help close the gap between research and routine clinical practice, alongside standardised methodological and reporting frameworks, smooth integration with clinical workflow and robust governance to support responsible and ethical AI use.
They concluded: “Artificial intelligence is a transformative force in the management of ovarian conditions.
“In gynaecologic oncology, AI enhances every phase of care, from early detection and accurate diagnosis to prognostic stratification and surgical planning.”
In reproductive medicine, AI personalises ovarian stimulation and refines the diagnosis of heterogenous endocrine disorders such as PCOS.
PCOS, or polycystic ovary syndrome, is a hormonal condition that can affect periods, skin, weight and fertility.
Fertility
Housing, work and fertility stop Britons having the families they want – research
Fertility
Femtech World reveals fertility innovation award shortlist

Femtech World is thrilled to reveal the shortlist for the Fertility Innovation Award.
The award, sponsored by FinDBest IVF, celebrates a pioneering product, service or initiative that is transforming fertility care and support.
FinDBest IVF is a global B2B digital platform created to simplify and accelerate how IVF and ART manufacturers connect with trusted, pre-vetted distributors around the world.
This year’s nominees represent a remarkable breadth of approaches to fertility care: from clinic-floor breakthroughs to at-home hormone intelligence to truly borderless access.
Three companies made the cut, with each tackling a real, persistent barrier in reproductive health.
Congratulations to the shortlist and many thanks to everyone who entered.
Fertility Innovation Award Shortlist

HRC Fertility’s Needle-Free IVF is a pioneering advancement designed to transform one of the most challenging aspects of fertility treatment: daily hormone injections.
Developed by board-certified reproductive endocrinologist Dr Rachel Mandelbaum, this innovative approach reimagines how stimulation medications are delivered during IVF and egg freezing, dramatically improving the patient experience while maintaining the same trusted clinical outcomes.
Inspired by feedback from patients who struggled with the injection process, Dr Mandelbaum adapted an innovative drug-delivery system commonly used in other areas of medicine and applied it to reproductive care

Mira is a hormonal health technology company that provides lab-grade hormone testing and AI-driven insights to help women and couples understand their fertility.
The platform has already supported more than 200,000 couples on their fertility journeys worldwide, helping over 60,000+ users achieve pregnancy.
For some users, pregnancy rates have reached up to 89 per cent within six months, demonstrating how accurate hormone data can significantly improve fertility outcomes.

Founded in 2021 by Marija Skujina, a Certified Fertility Nurse Specialist accredited by the European Society of Human Reproduction and Embryology, with nearly 15 years of clinical experience at one of the world’s top IVF clinics, and having navigated her own fertility journey as a patient, Marija built the clinic she had always wished existed.
Plan Your Baby began with a bold, but simple mission – make best quality fertility and pregnancy available anywhere.
Plan Your Baby has created a new generation fertility and pregnancy clinic with patients accessing expert consultations remotely, while blood tests and ultrasound scans are available at over 450 locations across the UK, eliminating the exhausting travel burden that often forces people to take days off work, relocate appointments, or abandon treatment altogether
What happens now
The shortlist will be judged by a representative from category sponsor FindBestIVF, with the winner announced at a virtual event on June 19.
Winners will receive a trophy and be interviewed by a Femtech World journalist.
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