Fertility
Fairtility expands European market penetration, as clinics embrace breakthrough AI technology in IVF
One year following CE MDR clearance, Fairtility has emerged as the AI decision support platform of choice in European fertility practice

Fairtility, the transparent AI innovator powering IVF for improved outcomes, has announced it is expanding its geographic footprint across Europe.
One year since receiving CE MDR clearance for CHLOE EQ™, Fairtility has established a strong presence in countries, including the United Kingdom, Spain, Turkey, Greece, and Norway, in its mission to transform the IVF landscape.
“Clinics across Europe have embraced CHLOE EQ™, and they are seeing the disruptive capabilities of the platform, both in terms of embryo selection and providing patients the most advanced and transparent IVF experience available,” said Eran Eshed, CEO and Co-founder of Fairtility.
“These clinics are charting the path forward as AI progresses to become part of the standard of care across the IVF journey.”
With one in six people experiencing infertility in their reproductive years, the IVF market is growing. Fertility care providers must expand capacity by seeking opportunities to create workflow efficiencies both within and beyond the embryology lab.
CHLOE EQ™ represents a breakthrough in the IVF field, enabling clinics to reduce time spent on manual embryo annotation by an average of 33 per cent per cycle. This has resulted in a 30-50 per cent increase in IVF cycle capacity in clinics.

“Implementing AI technologies entering the IVF space challenges traditional norms and drives innovation forward for the entire industry,” said Suzanne Cawood, director of embryology, CRGH UK.
“AI tools like CHLOE EQ™ are necessary for improving the efficiency of IVF processes and increasing transparency. They are also the answer to IVF professional shortages and embryologist burnout resulting from the volume of administration associated with a single IVF cycle.
“Fairtility’s AI makes IVF more efficient and accessible to the growing population of people seeking fertility treatment.”
To thrive in the digital age, clinics must embrace a fully digital IVF journey that is streamlined and transparent for all stakeholders. Fairtility understands this imperative and is supporting clinics in achieving digital transformation for the IVF journey.
CHLOE EQ™ integrates with leading IVF EMR providers, enabling data to flow freely from lab-to-fertility specialist-to-patient, paving the path for more open communication on treatment plans and progress.
Shabana Sayed, senior embryologist and IVF lab manager at Klinikk Hausken, part of Medicover, said: “We selected CHLOE EQ because of its ability to provide quantifiable biological data on embryo development, quality and viability. This transparency and interpretability set it apart from other AI-based decision support tools available.
“Our embryologists see this system as a companion that helps augment and standardise decision making. It speaks to them in a language they understand –human biology.”
CHLOE EQ™ is the only commercial AI decision support platform able to quantify biomarkers throughout embryo development, automatically analysing established morphological and morphokinetic features, which are traditionally captured in a time-consuming and subjective manner.
Through translation of computational information to biologically relevant interpretation made ready for clinical decision making, CHLOE is the first and only transparent AI system able to automate analysis of the full spectrum of biological events related to embryo development.
“Together with our visionary partner clinics, we are reshaping the fertility landscape, addressing the urgent need for improved outcomes, and providing patients with the transparency and control they desire,” said Eshed.
Fairtility has implemented its transparent AI tool in 10 clinics, including:
- IVF London, UK
- Harley Street Fertility Clinic, UK
- The Centre for Reproductive and Genetic Health (CRGH), UK, part of Future Life
- MEMORIAL IVF, Turkey
- Next Fertility Murcia at Tahe Medical Center, part of Next Clinics, Spain
- Tambre Fertility Clinic Madrid, Spain
- The Institute of Life – IASO, the leading Assisted Reproduction (IVF) Unit, Greece
- CRA Barcelona, Spain
- Klinikk Hausken, part of Medicover, Norway
- Instituto Bernabeu, Spain

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.
Mental health
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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