Fertility
Genetic testing of IVF embryos helps women over 35 conceive faster

Genetic testing of IVF-created embryos could help more women over 35 have a baby in less time, a clinical trial has found.
This is the first randomised controlled trial worldwide to focus exclusively on women aged 35–42, a group at higher risk of producing embryos with chromosomal abnormalities.
The trial looked at the use of Preimplantation genetic testing for aneuploidy (PGT-A) to check embryos for chromosomal abnormalities before transfer.
Older women are more likely to produce embryos with the wrong number of chromosomes, which can lead to difficulties conceiving, and increases the risk of miscarriage.
Current NICE guidance does not currently recommend routine use of PGT-A, driving women to pursue this test privately or skip it altogether.
This guidance is based on previous evidence from studies which had a young average age of participants where the rate of aneuploidy, abnormal number of chromosomes in a cell, is lower.
The study also broke new ground by including mosaic embryos, those containing both normal and abnormal cells, which are frequently encountered in IVF but rarely included in research.
Dr Yusuf Beebeejaun, first author of the paper at King’s College London and King’s Fertility, said: “The number of women starting their family above the age of 35 is increasing and women in this age group are more likely to create embryos with the wrong number of chromosomes.
“This increases the risk of unsuccessful implantation and miscarriages.
“Our findings suggest that targeted use of PGT-A in this age group could help more women have a baby sooner, while also reducing the emotional toll of repeated unsuccessful cycles.”
The pilot study of 100 women undergoing fertility treatment at King’s Fertility was aimed to fill the evidence gap by focusing on older patients, and assessing the feasibility of conducting a multi-centre randomised controlled trial that explores the test’s impact on pregnancy and live birth rates in women aged 35-42.
Both the clinical treatment and embryology procedures for the study were carried out at King’s Fertility.
The unblinded trial was conducted from June 2021 to June 2023. There were 50 patients in the PGT-A group and 50 patients in the control group.
The study showed that the PGT-A test showed a higher cumulative live birth rate after up to three embryo transfers with 72 per cent in the PGT-A group versus 52 per cent in the control group.
Women in the PGT-A group achieved pregnancy in fewer transfers, reducing the time to conception, an important factor for women of advanced reproductive age.
Whilst this is a pilot study and the difference did not reach statistical significance due to the small sample size, the trend suggests a potential benefit that warrants investigation in a larger, multi-centre trial.
Lead author Dr Sesh Sunkara from King’s College London and King’s Fertility said: “By focusing exclusively on women aged 35–42 and including mosaic embryos, we have addressed questions that previous studies have not adequately explored.
“While larger multi-centre trials are needed to confirm these findings, improving treatment efficiency with a shorter time to achieving pregnancy and live birth could reduce the physical and emotional burden of IVF for women of advanced reproductive age.”
Dr Ippokratis Sarris, Director of King’s Fertility and co-author of the study, added: “This research is a testament to the dedication and expertise of the team at King’s Fertility.
“Not only were all patients recruited and treated here, but the embryology work was also carried out by our laboratory staff.
“We are proud to have led this pioneering trial, which addresses one of the most important questions in IVF treatment for women over 35, and we look forward to building on these findings in larger, multi-centre studies.”
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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