Fertility
Future Fertility partners with Japan’s leading IVF provider, Kato Ladies Clinic
Future Fertility, a Toronto-based health technology company specialising in AI-powered fertility insights, has entered the Japanese market through a new commercial partnership with Kato Ladies Clinic — a globally recognised leader in IVF research and advancing clinical fertility care.
The collaboration marks Future Fertility’s first partnership in Japan and reflects growing global demand for technologies that bring greater objectivity and personalisation to fertility care.
Kato Ladies Clinic will integrate the company’s AI-powered oocyte (egg) quality assessment tools into its clinical workflows, with the aim of supporting more informed treatment planning and patient counselling across IVF and egg freezing cycles.
“At Kato Ladies Clinic, we are committed to advancing fertility care through innovation while maintaining a strong focus on individualised, patient-centred treatment,” said Keiichi Kato, chief executive officer.
“Partnering with Future Fertility enables us to integrate objective, data-driven insights into our clinical approach and better support our patients in making informed decisions.”
Future Fertility’s platform analyses images of oocytes using artificial intelligence trained and validated on a dataset of more than 650,000 unique oocyte images.
The technology is already in use at more than 300 clinics across more than 35 countries, helping clinicians better understand the developmental potential of individual eggs and provide patients with more personalised insight earlier in their treatment journey.
From Research Collaboration to Clinical Adoption
The partnership between Future Fertility and Kato Ladies Clinic began as a scientific research collaboration in 2024, marking the first use of AI-powered oocyte quality assessment in Japan.
The collaboration not only validated the technology in a new patient population and across diverse clinical protocols — including minimal stimulation cycles —but also resulted in a peer-reviewed publication in Reproductive BioMedicine Online (RBMO) and a poster abstract presentation at ESHRE 2025.
The joint research explored how AI-derived oocyte quality scores relate to early embryonic development and overall treatment outcomes. In a retrospective study conducted at Kato Ladies Clinic, researchers analysed nearly 2,800 mature oocytes across more than 1,300 ICSI cycles, linking image-based assessments of egg quality to key developmental milestones.
The study demonstrated that lower AI scores were associated with reduced fertilization rates, delays, and abnormalities in early embryo development, increased developmental errors, and lower-quality blastocyst formation.
Notably, the researchers also found that cumulative oocyte scores were a stronger predictor of live birth outcomes than the number of eggs retrieved — underscoring the importance of assessing egg quality alongside quantity.
“Our collaboration with Future Fertility has demonstrated how artificial intelligence can uncover meaningful biological differences between oocytes that were previously difficult to quantify,” said Kenji Ezoe, senior scientist.
“Bringing this technology into routine clinical use is an important step toward translating research into improved patient outcomes.”
Future Fertility’s VP of clinical embryology & scientific operations, Jullin Fjeldstad, noted that the findings provide important clinical validation.
“Our joint research with Kato Ladies Clinic has shown how AI-based oocyte assessment can be directly linked to numerous embryo development outcomes, from fertilization through early developmental milestones and blastocyst formation,” she said.
“We are excited to see this work translated into clinical practice.”
Growing Demand for Fertility Care in Japan
The partnership comes at a time when demand for fertility treatment in Japan continues to rise.
The country performs over 450,000 fertility treatment cycles annually, making it one of the largest markets globally. Delayed childbearing and evolving societal trends have also contributed to increasing interest in egg freezing.
As patients seek more clarity and personalization in their care, tools that provide earlier insight into reproductive potential are gaining traction.
“Entering the Japanese market with a partner like Kato Ladies Clinic is a significant step forward for our global commercial strategy,” said Rafael Gonzalez, Future Fertility’s VP of global sales & strategy.
“It reflects the growing demand for technologies that support more transparent, data-driven fertility care across diverse healthcare systems.”
Expanding a Global Footprint
Founded in 1993, Kato Ladies Clinic is known for its pioneering work in natural and minimal stimulation IVF and has long been a leader in clinical innovation in Japan.
For Future Fertility, the partnership represents both a geographic expansion and a continuation of its broader mission to bring AI-driven insights into routine fertility care.
“We are proud to partner with Kato Ladies Clinic, a globally respected leader in IVF and a pioneer in reproductive medicine in Japan,” said Future Fertility’s CEO, Christy Prada.
“This partnership represents an important milestone as we expand into Asia and continue our mission to bring objective, personalised insights into fertility care worldwide.”
Future Fertility develops AI-powered tools designed to generate personalised insights across the fertility journey.
Its flagship oocyte assessment technologies analyse egg images to provide objective, individualised measures of egg quality, supporting treatment planning, patient counselling, and clinical decision-making in egg freezing and IVF, while also enabling more data-driven approaches to donor egg distribution and quality assurance.
As fertility care continues to evolve, collaborations like this one are helping shape a new standard — one that emphasises earlier insight, greater transparency, and more personalised decision-making for patients navigating increasingly complex reproductive journeys.
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.
Housing, work and fertility pressures are stopping many Britons growing the families they want, new research suggests.
A UK fertility report found that 79 per cent of people surveyed who had tried to conceive in the past five years would like more children than they currently have.
Among parents with one child, that figure rises to 88 per cent.
The report surveyed more than 1,000 people across the UK who had tried for a baby in the past five years.
While birth rates continue to fall, the findings suggest it is not because people no longer want children. Instead, many respondents said external pressures are making it harder to grow their families.
The findings, from wellness brand Wild Nutrition’s Fertility Disconnect report, highlight how financial pressures, fertility struggles and gaps in reproductive health knowledge are shaping modern family life in the UK.
Gail Madalena, fertility nutritional therapist at Wild Nutrition, said: “People often assume fertility begins the moment they decide to try [for a baby].
“In reality, egg and sperm health are shaped months and years earlier.
“By the time someone starts thinking about fertility, their body has already been responding to its environment for a long time.”
Among the biggest barriers, 26 per cent said career progression affected their family plans, 25 per cent cited housing affordability and lack of space, and 52 per cent said they required medical intervention during their fertility journey.
The report also found that almost a quarter of respondents had spent more than two years trying to conceive.
Trying for a baby can take a significant toll on mental health and relationships, especially for those navigating fertility treatment.
According to the research, 38 per cent of respondents said trying to conceive had negatively affected their mental health. That figure rose to 99 per cent among people undergoing fertility treatment.
Julianne Boutaleb is a perinatal psychologist.
She said: “Navigating a fertility journey is about so much more than medical appointments and procedures.
“It’s an emotional marathon that can take a huge toll on your mental wellbeing.
“Sadly, the stats show that 15 per cent of couples going through fertility treatment say their relationship has been irrevocably impaired.”
The report also highlighted the realities of secondary infertility, which affects around one in 20 people, challenging the assumption that having one child means conceiving again will be straightforward.
Researchers found many people felt under-informed about fertility, particularly younger adults.
Ten per cent of Gen Z respondents said they “know nothing” about fertility, while only one in five respondents said they know “a lot” about egg health.
The report also found that 60 per cent of women were unaware of fertility testing options, and one in five Gen Z respondents said they felt uncomfortable discussing fertility, even with their partner.
Around 40 per cent of those surveyed supported fertility education being included in schools, covering topics such as egg health, sperm health and hormonal health.
The report also explored how lifestyle and long-term health may influence fertility outcomes.
Many respondents said they only made changes once they started trying to conceive.
Some 44 per cent improved their diet when trying for a baby, while 32 per cent reduced alcohol intake at that stage.
The report also referenced emerging research that suggests ultra-processed foods and microplastics could have an impact on reproductive health.
While fertility conversations often focus on women, the findings showed male fertility issues are also affecting many families.
Seventeen per cent of respondents cited sperm health issues as a barrier to conception, while male factors contribute to around half of all fertility challenges.
Only one in four men said they would share fertility struggles with friends.
“Many causes of male infertility are entirely treatable yet so often the last resort is the first response,” said Ian Stones, co-founder at Test Him Ltd.
The findings come as UK birth rates remain below replacement level.
The report noted that the UK fertility rate is now 1.41, meaning that on average women give birth to 1.41 children over their lifetimes. The replacement rate, or rate that maintains population numbers, is 2.1.
It also said the average age of mothers has risen to 31, while birth rates are falling across most age groups except among over-40s.
“There is no single fertility story, and it is rarely a simple, linear narrative,” said Dr Zeynep Gurtin, lecturer in women’s health at UCL.
Dr Gurtin added that better fertility education, fairer access to treatment and more open conversations around infertility and pregnancy loss are needed.
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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