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Holland & Barrett acquires femtech start-up Parla
The wellness retailer has announced the acquisition of Parla, as part of its strategy to extend its reach beyond retail
Holland & Barrett has made public the acquisition of the femtech start-up Parla, aiming to offer personalised wellness solutions and services across a range of underserved healthcare topics.
Parla is the first-ever virtual support system to improve women’s mental wellness after pregnancy loss and beyond. It provides a safe space supporting ongoing informed conversation and scientific insights around women’s health and fertility experiences.
Co-founded by Lina Chan with her husband Tyler Christie and Rose Acton in 2018, Parla’s mission is to break down the taboo surrounding women’s health issues and enable access to trusted and holistic support.
The company offers holistic, personalised care for a range of challenges including endometriosis, PCOS and pregnancy loss. Through its online programmes, participants join cohort-based learning programmes, which help bring together women who may have been through similar experiences and connect them with experts in fertility, psychology, nutrition and wellbeing.
“Our vision is to transform the wellness of 100m people by 2025, helping them achieve their personal wellness goals,” says Tamara Rajah, Holland & Barrett chief business and science officer. “This ambition takes us beyond our current retail business to offer a suite of different personalised diagnostics, services and solutions.
“Parla aims to tackle major underserved wellness needs that impact tens of millions of women around the world. What stood out for Holland & Barrett is their focus on making these taboo topics more socialised, and their novel cohort-based model to address mental wellness through conversation, community and expert support. Holland & Barrett has been offering women advice on menopause and women’s health for over 50 years, so this is a natural extension of our business.”
Lina Chan, founder of Parla, explains that: “Parla was inspired by my own experience with pregnancy loss and trouble conceiving. I always felt on the back foot.
“One in ten women in the UK currently suffer with endometriosis and PCOS, and one in five pregnancies end in miscarriage. I wanted to build something that helps women feel in control of their journey through these challenging experiences. Parla’s research found that cohort based learning is a particularly powerful support method when it comes to tackling taboo health areas as it combines access to expert coaching with peer support.
“We also offer at-home hormone testing, health quizzes and the opportunity to access personalised health insights,” Chan continues. “Our programmes are also supported by an app designed to help customers adopt the lifestyle interventions taught in each programme.”
Parla is officially launching the start of its next endometriosis programme by supporting the UK premiere of Below the Belt, a new US documentary about the injustices impacting women’s health. Directed by Shannon Cohn and Executive Produced by Hillary Clinton, the film reveals how millions of people with endometriosis are sidelined and silenced.
The screening in London on June 8 will be followed by a live panel discussion with some of the biggest names in UK medicine and media – Candice Brathwaite, Pippa Vosper, Dr Anita Mitra aka Gynae Geek, Dr Nighat Arif, Lina Chan from Parla and Shannon Cohn will be exploring how storytelling, femtech innovation and community can help break the silence and improve healthcare outcomes for all.
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.”
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.”
Entrepreneur
Future Fertility raises Series A financing to scale AI tools redefining fertility care worldwide
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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