Fertility
New technique could advance reproductive science

A new study by researchers at Shinshu University holds promise for overcoming significant challenges in reproductive science, marking a major advancement in fertility research.
Mature egg cells, or oocytes, are essential for fertilization in assisted reproductive technologies.
However, some ‘denuded’ oocytes, or those lacking the protective granulosa cell layer, fail to mature.
Now, researchers at Shinshu University have developed a method to culture mature oocytes from these denuded oocytes in the lab.
The new approach holds promise for overcoming significant challenges in reproductive science, marking a major advancement in fertility research.
Assisted reproductive technology (ART) is a fertility treatment where eggs are removed from the ovaries, combined with sperm outside the human body, and the resulting embryos are placed in the uterus.
Typically, eggs or oocytes grow within fluid-filled sacs called follicles in the ovary.
Granulosa cells (GCs) surround the developing egg and provide essential nutrients and hormones.
However, early-stage follicles have only a thin GC layer, and during isolation for fertility treatments, these cells may detach from the egg, leaving behind “denuded” oocytes, which are unable to mature and cannot be used in ART.
Now, in a study published online on 21 August 2024 in Biology of Reproduction, Assistant Professor Kanako Morohaku and her team at Shinshu University have identified a novel method to produce viable, embryo-forming eggs from denuded oocytes taken from “preantral” follicles in mice.
Preantral follicles represent an earlier developmental stage, unlike the more mature antral follicles typically used in ART.
While previous research focused on antral follicles, there have been limited attempts to obtain viable eggs from preantral follicles.
To address this issue, the researchers isolated denuded oocytes and GCs from mice, which were then grown together in a U-shaped lab dish for eight days.
This led to the formation of granulosa cell-oocyte complexes, or GOCs, which allowed the oocytes to interact with supporting cells again.
In a previous study, the team found that oocyte quality was affected by the oxygen concentration under which GOCs were cultured.
Hence, these oocytes were cultured with GCs under high (20 per cent) and low (5 per cent) concentrations of oxygen to observe the difference in oocyte growth.
They observed that low oxygen levels significantly improved the development of GOCs and stimulated the formation of transzonal projections, thin cellular connections necessary for oocyte growth.
After eight days, these reassembled GOCs were cultured on a collagen-coated membrane for four additional days, leading to the maturation of oocytes into fertilizable eggs.
To test their viability, the researchers fertilized the eggs and transferred 126 embryos into female mice, following which they obtained six live pups.
Mr Tomohiro Koham is a PhD student and one of the authors.
He said: “To the best of our knowledge, our new culture protocol is the first to successfully obtain offspring from preantral follicle-derived denuded oocytes grown by reconstructing GOCs in vitro.”
The researchers suggest that this new method could also benefit large animals like cattle and pigs, where typical egg maturation techniques often fail due to the unique structure of their ovaries.
Additionally, the approach could help converse endangered species by supporting ex vivo (outside an organism’s body) production, offering a new way to preserve genetic resources.
Image: Kanako Morohaku at Shinshu University
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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