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New technology for assisted reproduction could reduce time to pregnancy
The technique has the potential to reduce the time and treatment cycles needed to achieve pregnancy through IVF

A new technology could make it possible to classify the quality of embryos faster and twice as accurately as expert embryologists.
The technology, developed by the Institute for Bioengineering for Catalonia (IBEC), uses imaging and AI to analyse the metabolism of embryos and oocytes obtained through IVF in order to decide which are most likely to implant in the uterus and reach full-term.
The technique promises to reduce the time and treatment cycles needed to achieve pregnancy through IVF, minimising the emotional and financial burden on patients.
According to researchers, the method, called METAPHOR, generates 3D images that reveal the colours present in the embryo in a non-invasive way. Certain naturally fluorescent compounds in the embryo’s metabolism are also key to processes, such as cellular respiration or nutrient consumption, making METAPHOR a “reliable” way to monitor the embryo’s health.
“This new technology will help to increase the probability of success in assisted reproduction processes, reducing the so-called ‘time to pregnancy’ and the economic and psychological burden on patients,” said Samuel Ojosnegros, principal investigator at IBEC and leader of the study.
A paper, published in PNAS, describes how, in studies with mice, the researchers using the method were able to double the success rate in selecting viable embryos compared to embryologists using traditional microscopy.
In addition to embryo analysis, the technique has been shown to be “highly accurate” in analysing oocyte metabolism, allowing the most suitable oocytes to be selected for IVF.
The researchers compared oocytes from young and older females and showed that METAPHOR system discriminated between young and non-young oocytes with 96 per cent accuracy and was able to predict which would develop into viable embryos with over 80 per cent accuracy.
Anna Seriola, senior researcher in the Ojosnegros group and author of the study, said: “We are able to assess the loss of oocyte quality associated with the loss of fertility with age.
“We look for so-called ‘molecular signatures’, characteristics of the cells that are associated with this loss of fertility, such as the distribution of mitochondria.
“From this information, we can predict which oocytes will develop and which will not. This would be a breakthrough in the management of fertility donation and preservation.”
The technological basis of METAPHOR uses AI methods to analyse metabolic images obtained by hyperspectral microscopy, explained Albert Parra, a researcher in the Ojosnegros group and first author of the study.
“Using hyperspectral microscopy, we acquire hundreds of images containing complex information of many mixed metabolites from embryos and oocytes.
“To analyse them, we trained an AI tool capable of analysing and classifying these images in a few minutes.”
Researchers are currently fine-tuning the technology to evaluate human embryos and have established a spin-off company to bring the technology to assisted reproduction clinics in the coming years.
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Research project of the year shortlist revealed

The Femtech World Awards is proud to reveal the shortlist for Research Project of the Year as part of the third annual global celebration of innovation, impact and leadership across women’s health.
From fertility science and perimenopause research to regional ecosystem analysis, the shortlisted projects reflect the breadth and growing influence of femtech research worldwide.
The category is sponsored by OncoGenomX, with the winner to be selected by a representative from the organisation.
OncoGenomX is dedicated to offering solutions and providing comprehensive support services that empower Drug Developers, Clinical Researchers, Oncologists,NextGenSeq Diagnostics Laboratories, NextGenSeq Service Organisations, Cancer Diagnostics and Therapeutics Companies to achieve their ambitious goals
The shortlisted entries for Research Project of the Year are:

Women’s health remains significantly underserved in South-East Asia, with persistent gaps in access, awareness, and quality of care carrying substantial social and economic costs.
This report examines the femtech landscape in Indonesia, the Philippines, Singapore, Thailand, and Vietnam, highlighting market trends, emerging technologies including artificial intelligence, and the evolving support ecosystem.
It identifies key challenges facing femtech founders, including limited access to finance, low awareness and persistent stigma, marketing constraints linked to content moderation, and gaps in tailored ecosystem support.

Led by Stephanie Willson, MD, of the IVI RMA Global Research Alliance, the study explored whether embryos that show certain chromosome abnormalities during genetic testing may still have the potential to result in a healthy pregnancy and live birth.
The research analysed more than 7,600 frozen embryo transfers and found that some embryos previously considered unlikely to succeed were still capable of leading to successful pregnancies, although at lower rates than embryos without abnormalities.
The findings could help fertility clinics and patients make more informed decisions during IVF treatment, particularly in cases where there are limited embryos available.
Rather than automatically discarding these embryos, the research supports a more evidence-based and personalised approach to fertility care.

For many women, perimenopause can feel confusing and unpredictable, with limited research explaining what is happening in their bodies.
Natural Cycles set out to change that by leading one of the largest studies ever conducted on menstrual and ovulatory patterns, uncovering new insights into how ovulation behaves as women approach menopause.
Conducted in collaboration with researchers from George Washington University, Seattle Clinical Research Center, Gennev and the University of California San Diego, the study analysed nearly one million menstrual cycles from more than 197,000 women aged 18–52 across more than 140 countries.
The scale of this dataset made it possible to explore menstrual patterns and ovulation in far greater detail than has traditionally been possible in women’s health research.
The Femtech World Awards celebrates the innovators, researchers and organisations driving meaningful progress in women’s health.
What happens next
Winners across all categories will be revealed during the virtual ceremony on June 19, with winners receiving a trophy and an interview with a Femtech World journalist.
Mental health
Women over 40 seeking raves for mental health benefits
News
Osteoporosis significantly increases risk of death in menopause, study suggests

Osteoporosis may raise the risk of death in postmenopausal women by up to 47 per cent, a new study suggests.
The findings point to an inverse relationship between femoral bone mineral density and mortality risk, especially within certain ranges.
Femoral bone mineral density is the amount of mineral in the thigh bone, which is often measured to assess bone strength and osteoporosis risk.
Dr Monica Christmas is associate medical director for The Menopause Society.
She said: “Osteoporosis often remains a silent threat after menopause, despite its profound effect on women’s lives—from loss of height, poor balance, and reduced mobility to disfigurement, pain, and even premature death.
“Early screening and preventive measures, including a calcium-rich diet (preferably from food sources), regular weight-bearing exercise, and hormone therapy when appropriate, can significantly improve bone health and reduce risks not only of fractures but also cardiovascular disease, certain cancers, and dementia.
“It’s time we bring this conversation to the forefront.”
In the study involving nearly 3,000 postmenopausal women, bone mineral density at four femoral sites was assessed using dual-energy x-ray absorptiometry, a scan commonly used to measure bone strength and fracture risk.
The analysis found that mortality risk was significantly higher when femoral bone mineral density reached the osteoporotic threshold or when osteoporotic fractures were present.
After full adjustment, osteoporosis was associated with a 47 per cent increased risk of mortality.
A stronger inverse association between increased bone mineral density and mortality risk was seen within specific ranges, suggesting bone mineral density could serve as a prognostic marker of wider health.
The relationship appeared especially notable within the range of 0.46 to 0.71 g/cm² for total femur bone mineral density.
Previous research has shown that postmenopausal women face a significantly higher risk of death within one year of hip or vertebral fractures.
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