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Managers still unprepared to discuss menstrual health, study finds

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Few HR professionals believe managers are properly trained to support employees with endometriosis and other menstrual health conditions, new research has revealed.

Only 16 per cent of HR professionals said line managers had the training or resources to effectively support staff with menstrual health issues, according to new research.

That figure dropped to 13 per cent for endometriosis – a disease affecting the lining of the womb, which impacts one in 10 women and those assigned female at birth from puberty to menopause.

The research, carried out by HR software provider Ciphr and the charity Endometriosis UK, surveyed 121 HR professionals and leaders in summer 2025.

It also found that many employers do not provide free period products or have flexible uniform rules.

Julie Burns is the Endometriosis Friendly Employer scheme manager at Endometriosis UK.

She said: “We know that there are many HR professionals already putting in place the right measures to enable those with endometriosis to feel valued, be productive and contribute to their organisation’s success – but as a charity we also hear stories of women and those assigned female at birth treated unfairly or without sympathy, forced to change careers or abandon their ambitions, because of the disease.

“We hope HR professionals recognise that providing support to the estimated 1.5m in the UK with endometriosis is in their interests.

“Doing so will not only enable that community to achieve their potential, but it sends a message to your wider team that they are valued and can expect support and reasonable adjustments.”

Menstrual health policies were far less common among UK employers (11 per cent) than those for mental health (57 per cent) or peri/menopause (48 per cent).

However, flexible working – offered by 89 per cent of employers – may provide some support for employees with endometriosis.

Only 21 per cent of employers recorded data on how many staff had a diagnosed or suspected menstrual health condition such as endometriosis.

Meanwhile, 29 per cent said free period products were not supplied at work, with another 3 per cent unsure.

Among organisations where uniforms are worn, just 18 per cent said employees were asked whether adjustments were needed.

This could be particularly relevant for those with endometriosis, who may experience bloating or heavy bleeding that can temporarily alter body shape by up to two dress sizes.

Claire Hawes, chief people and operations officer at Ciphr, said employers should take the findings seriously.

She said: “It’s concerning that these results reveal such a wide gap in organisational awareness and readiness to support employees living with endometriosis and other menstrual health conditions.

“When managers are perceived as unapproachable or ill-equipped to respond with empathy and understanding, organisations risk sidelining the needs of a significant part of their workforce.

“HR teams have a vital role to play in changing this. Managers must be empowered to support their people holistically – not just in terms of performance and KPIs, but in their health and wellbeing too.

“That means investing in training, implementing flexible policies, signposting resources, and fostering open, compassionate conversations about health.”

Sanchia Alasia is a trustee of Endometriosis UK and senior HR professional who lives with endometriosis.

Alasia said: “My personal and professional experience shows me that a little bit of flexibility can go a really long way.

“Those with endometriosis need to know that if they have a flare-up or need to attend a medical appointment, they can tell a manager and be believed and understood, rather than judged.

“That flexibility needs to be there both in the culture of an organisation and in the policies that line managers rely on.

“Ultimately, line managers need clarity, and all sorts of employees may need that flexibility at some time or another, regardless of whether they have endometriosis, another medical condition, or other circumstances affecting them.”

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Diagnosis

Researchers teach AI to spot cancer risk by squeezing individual breast cells

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An AI tool could help spot breast cancer risk by analysing how individual breast cells behave when squeezed under stress, research suggests.

Researchers at City of Hope and the University of California, Berkeley, created a microfluidic platform that assesses women’s breast cancer risk at the cellular level.

The platform squeezes individual breast epithelial cells, which line breast tissue, to measure how they deform, recover and behave under stress.

Because more than 90 per cent of women do not have a known genetic predisposition to breast cancer or a family history of the disease, the researchers said the approach could help fill a key gap in risk assessment.

Mark LaBarge, professor in the department of population sciences at City of Hope, said: “For women with a known genetic risk factor for breast cancer, there are things you can do like follow a higher-risk screening protocol. For everybody else, you’re left wondering, ‘Am I at high risk?’

“By translating physical changes in cells into quantifiable data, this tool gives women something tangible to discuss with their doctors, not just risk estimates, but evidence drawn directly from their own cells.”

The researchers developed a machine learning algorithm that identifies and measures cells showing signs of accelerated ageing, generating an individual breast cancer risk score.

They said the platform uses simple electronics that could be easy and affordable to replicate on a large scale.

Lydia Sohn, chair in mechanical engineering at UC Berkeley, said: “Our team isn’t the first to measure the mechanical properties of cells; however, other approaches require advanced imaging technology that’s expensive, cumbersome and has limited availability.

“In contrast, MechanoAge uses computer chips that are simpler than an Apple Watch and ‘RadioShack parts’ that are cheap and easy to assemble, potentially making the device highly scalable.”

About 6 per cent of women who develop breast cancer carry known genetic mutations.

For women outside this group, risk is usually estimated indirectly using population models or measures such as breast density, which can both overestimate and underestimate individual risk.

The researchers said there is currently no non-genetic test that can identify women at higher risk of breast cancer.

Screening mammograms can detect cancer only once it has started to grow, but the MechanoAge platform aims to assess risk earlier by looking for physical changes in individual cells.

Using the platform, the researchers found that breast cells appear to have a “mechanical age” separate from a person’s chronological age, based on how the cells respond to stress.

They said this is the first time mechanical age has been quantified in biological cells.

Sohn said: “We learned that the older the mechanical age, as determined by how cells respond to being squeezed through our microfluidic device, the higher the risk for breast cancer.”

In this type of mechano-node-pore sensing, an electrical current is measured across a liquid-filled channel.

As cells pass through, they disrupt the current, generating measurements about their size and shape. By narrowing parts of the channel, researchers squeeze the cells and then measure how long each one takes to return to its normal shape.

The team found that cells from older women were stiffer and took longer to bounce back after being squeezed.

They also identified a subset of younger women whose cells behaved more like those from older women. These cells came from women with genetic mutations linked to a higher breast cancer risk.

The researchers then refined the algorithm to assign a risk score based on the cells’ measured mechanical and physical properties. They said it successfully identified women with known genetic risks.

The team then used it to compare cells from healthy women, women with a family history of breast cancer, and cells taken from the healthy breast of women with breast cancer in the other breast.

LaBarge said: “With accuracy, we were able to figure out which women were at high risk of breast cancer and which women didn’t seem to be.”

The work grew out of more than 12 years of collaboration between the two labs, combining engineering with cancer and ageing biology.

Sohn said: “It’s a true collaboration. We’ve learned a lot from each other.

LaBarge added: “In my view, this is what happens when you have a real collaboration that develops over a long time. This result is not what we imagined at the beginning.”

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Diagnosis

Experimental drug drowns triple-negative breast cancer cells in toxic fats

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An experimental drug slowed triple-negative breast cancer in mice by flooding tumour cells with toxic fats.

Triple-negative breast cancer lacks three common drug targets, making it one of the hardest-to-treat and most aggressive forms of the disease.

The compound, known as DH20931, appears to push cancer cells past their limits by triggering a surge in ceramides, fat-like molecules that place the cells under intense stress until they self-destruct.

In lab experiments, the drug also made standard chemotherapy more effective. When combined with doxorubicin, researchers were able to reduce the dose needed to kill cancer cells by about fivefold.

The drug targets an enzyme known as CerS2 to sharply increase production of these lipids and stress cancer cells. Healthy cells, by contrast, showed lower sensitivity to the drug in lab tests.

While the early results are promising, further preclinical and clinical trials would still be needed to determine the safety and effectiveness of DH20931 in humans.

Satya Narayan, a professor in the University of Florida’s College of Medicine, led the study with an international group of collaborators.

The researchers published their results on human-derived tumours on 21 April and presented their findings on combination therapy at the annual meeting of the American Association for Cancer Research in San Diego.

Narayan likened the drug’s effects to a home’s electrical system handling a power surge.

While healthy cells act like a properly grounded and installed circuit, cancer cells are more like a jumble of mismatched wires and faulty fuses. DH20931 overwhelms cells not with electricity, but with fats.

He said: “When that surge goes into the cancer cells, they cannot handle the amount of power they are getting. The fuses burn out, the cell can’t handle the surge and it dies.”

The compound was developed at the University of Florida in the lab of Sukwong Hong.

Hong, now a professor at the Gwangju Institute of Science and Technology in South Korea, created DH20931 as one of many drug candidates tested for efficacy in Narayan’s lab.

In the study, researchers implanted human triple-negative breast cancer tumours into mice and treated them with DH20931.

The drug significantly slowed tumour growth without causing noticeable weight loss or signs of toxicity in the animals. In separate lab experiments, it also showed activity against other breast cancer subtypes.

In addition to increasing lipid levels, DH20931 triggers a second stress signal by flooding cells with calcium.

Together, these effects disrupt the mitochondria, the structures that produce a cell’s energy, ultimately leading to cell death.

Narayan said: “It does not just follow one pathway but it goes through multiple pathways. It’s a two-hit hypothesis.

“These pathways are common in all breast cancer types and other solid tumours, so we think this drug can be useful not only in triple-negative breast cancer but potentially other cancers as well.”

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Entrepreneur

Future Fertility raises Series A financing to scale AI tools redefining fertility care worldwide

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Future Fertility Inc. has announced the closing of a US$4.1 million Series A financing round.

The round was led by M Ventures (the corporate venture capital arm of Merck KGaA, Darmstadt, Germany) and Whitecap Venture Partners, with participation from new investors Sandpiper Ventures, Gaingels, and Jolt VC.

The financing will accelerate Future Fertility’s commercial expansion into Asia-Pacific and support its entry into the United States, including planned FDA 510(k) clearance for additional products as part of a broader U.S. market entry strategy.

Proceeds will also advance the development of a broader AI platform, from egg assessment through to embryo transfer, designed to support clinicians, embryologists, and patients across the full IVF journey.

M Ventures and Whitecap have supported Future Fertility’s mission to translate AI innovation into meaningful clinical outcomes since the company’s earliest stages.

Oliver Hardick, investment director, M Ventures, said: “Future Fertility is addressing a critical unmet need in reproductive medicine with a differentiated AI platform grounded in clinical data and real-world workflow integration.

“We are excited to continue supporting the company and team because we believe its technology has the potential to improve decision-making for clinicians, bring greater clarity to patients, and help advance a more personalised standard of care in fertility treatment.”

Future Fertility’s AI platform addresses a long-standing gap in fertility care: historically, there has been no objective, clinically validated method for assessing egg quality (Gardner et al., 2025), despite it being one of the most important drivers of reproductive success.

The company’s suite of deep learning tools includes VIOLET™, MAGENTA™, and ROSE™, purpose-built for egg freezing, IVF, and egg donation respectively.

The tools are based on AI models trained and validated on more than 650,000 oocyte images and are deployed in over 300 clinics across 35 countries.

Rhiannon Davies, founding and managing partner, Sandpiper Ventures, said:  “The best outcomes in fertility care globally come from better data and smarter tools. Future Fertility understands that, and they’ve built a platform that delivers on it.

“Sandpiper is proud to back a team turning rigorous science into real results for patients and clinicians alike.”

Partnerships with the world’s leading fertility networks – including IVI RMA and Eugin Group across Latin America and Europe, FertGroup Medicina Reproductiva in Brazil, and most recently announced Kato Ladies Clinic in Japan –  reflect growing demand for objective, AI-powered oocyte assessment in fertility care. In the United States, ROSE™ is newly available under an FDA 513(g) determination.

Research shows that approximately 50 per cent of IVF patients do not understand their likelihood of success, and many discontinue treatment prematurely, even though cumulative success rates improve significantly with multiple cycles (McMahon et al., 2024).

By delivering earlier clarity on egg quality, Future Fertility’s tools support more informed conversations between clinicians and patients, helping set realistic expectations and guide decisions about next steps.

Future Fertility’s growing evidence base spans seven peer-reviewed publications in Human Reproduction, Reproductive BioMedicine Online, Fertility & Sterility, and Nature’s Scientific Reports, and more than 70 scientific abstracts accepted and presented with partner clinics at conferences worldwide.

Christine Prada, CEO, Future Fertility, said: “Fertility treatment is one of the most emotionally and physically demanding experiences a person can go through.

“Every patient deserves objective data, not just a best guess, to support better decisions at critical moments in their care.

“This funding means we can bring that clarity to more patients, in more countries, at a moment when it matters most.”

Find out more about Future Fertility at futurefertility.com

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