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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.”

Diagnosis

Women unaware of gynaecological cancers

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Only one per cent of women can name all five gynaecological cancers, new research suggests, as 21 women in the UK die every day of the diseases.

The report also found that 31 per cent of women have put off or avoided seeking medical advice for gynaecological symptoms.

It also found that 43 per cent of women invited for cervical screening said barriers had put them off attending, while 18 per cent of respondents aged 25 to 34 who had been invited had never attended.

The five main gynaecological cancers are womb, also called uterine, ovarian, cervical, vulval and vaginal cancer.

The Lady Garden Foundation said that, while progress has been made since the UK government’s 2022 Women’s Health Strategy aimed to improve gynaecological cancer care, significant challenges remain.

John Butler, medical director and trustee at the Lady Garden Foundation, said: “The fact that only one per cent of the population can name the diseases that directly affect half of us underscores a significant awareness gap, impacting individuals’ ability to recognise vital signs and symptoms or seek timely medical help.

“Addressing this isn’t just about awareness; it’s a critical public health priority. Our collective efforts are essential to ensure the latest commitments announced by this government translate into tangible change that saves lives.”

The report said key reasons for delaying medical advice included difficulty making appointments, embarrassment and, for cervical screening, fear of pain or previous bad experiences.

Women also reported challenges within healthcare interactions, including feeling “not taken seriously”, “dismissed” or “not believed” when seeking gynaecological advice.

Jenny Halpern Prince, chief executive and charity co-founder, said: “We frequently hear reports of women feeling ‘not taken seriously,’ ‘dismissed,’ or ‘not believed’ when seeking gynaecological advice.

“These experiences highlight crucial areas where we can improve patient support and trust within our healthcare system, ensuring women receive the empathetic and effective care they need.”

The Lady Garden Foundation said it aims to increase awareness of both the charity and the five gynaecological cancers.

It also aims to serve as a primary entry point for reliable, stigma-free information, helping people understand their bodies, recognise symptoms and overcome barriers to accessing care.

Its Silent No More Garden was unveiled at the RHS Chelsea Flower Show 2026. Designed by Darren Hawkes, the garden serves as a national call to action, using five sculptures to spark conversations, break long-standing taboos and encourage open dialogue about symptoms and preventative care.

Butler said: “Continued focus and collaborative action are essential to progress.

“The ongoing commitment from the government, alongside societal efforts to break down taboos surrounding gynaecological health, are crucial.

“The Lady Garden Foundation is dedicated to being a beacon of information and support, empowering women with the knowledge they need. We urge everyone to learn the signs, speak up, and help us save lives.”

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Hormonal health

Tampons could track MS nerve damage, study suggests

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Menstrual fluid collected from tampons could one day provide a simple, non-invasive way to measure a biomarker of nerve damage and potentially track disease activity in neurological conditions such as multiple sclerosis (MS), new research suggests.

Because neurofilament light chain, or NfL, has emerged as a promising biomarker of MS, detecting it in menstrual fluid raises the possibility of monitoring disease activity through the natural monthly cycle of menstruation.

Researchers at Nextgen Jane, in collaboration with Siemens Healthineers, found that NfL, a protein released when nerve cells are damaged, can be reliably detected in tampon-collected menstrual samples.

“Finding that NfL tracks with estrogen levels in menstrual fluid, independent of how much blood is in the sample, tells us there is real biology here, not just contamination,” said Ridhi Tariyal, chief executive and co-founder of Nextgen Jane.

“That changes what this specimen means for neurology.”

In MS, the immune system mistakenly attacks healthy parts of the brain and spinal cord, causing inflammation and damage that can lead to symptoms such as fatigue, numbness, muscle weakness, and problems with balance or vision.

Confirming a diagnosis of MS usually requires a combination of physical and neurological examinations, MRI scans to check for brain and spinal cord damage, and lab tests.

These can include detecting certain proteins in cerebrospinal fluid, the fluid that surrounds the brain and spinal cord, which may indicate inflammation in the brain or spinal cord.

After diagnosis, patients are usually monitored through clinical assessments and routine MRI scans, which help doctors detect changes in disease activity and determine whether treatments are working.

However, MRI assessments can be costly and are usually done once or twice a year, which can prevent doctors from spotting early changes and making timely treatment adjustments.

Because of these challenges, researchers have long sought cost-effective, more accessible biomarkers that could help detect MS earlier, monitor disease activity over time, and evaluate treatment response.

One of the most promising candidates is NfL, a protein found in nerve cell fibres that is released into the bloodstream and cerebrospinal fluid when nerve cells are injured.

To explore whether menstrual fluid could serve as a source for detecting this biomarker and, more broadly, as a non-invasive specimen for monitoring neurological, hormonal and inflammatory signals, researchers analysed 99 tampon-collected menstrual fluid samples from 91 participants.

They used Siemens Healthineers’ highly sensitive NfL assay on its automated testing platform. The team also measured hormonal and inflammatory molecules.

NfL was detected in 98 of the 99 menstrual fluid samples analysed, suggesting the biomarker can be reliably measured in tampon-collected samples.

The researchers also found that NfL levels were associated with estradiol levels, a form of the hormone oestrogen, and that this relationship remained significant even after adjusting for differences in blood content between samples.

By comparison, levels of inflammatory markers were more strongly linked to blood content itself.

According to the researchers, this suggests NfL detection was not merely the result of blood contamination, but may reflect biologically meaningful changes that could potentially be tracked over time through routine menstrual sampling.

Building on these findings, Nextgen Jane is now planning prospective studies to investigate whether menstrual NfL and other neurological proteins can be used to track disease activity over time in conditions such as MS.

“The menstrual cycle provides a built-in longitudinal framework: the same individual, the same biological process, month after month,” said Stephen Gire, chief scientific officer at Nextgen Jane.

“Coupling the NextGen Jane platform with Siemens Healthineers’ highly sensitive NfL assay gives us a path to study neurological biomarker trajectories in a way that has not been possibe before.”

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Diagnosis

Artera receives FDA Clearance for breast cancer platform

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Artera has won FDA clearance for ArteraAI Breast, its breast cancer platform for patients with early-stage HR-positive, HER2-negative invasive breast cancer.

ArteraAI Breast is the first and only FDA-cleared digital pathology-based risk stratification tool for breast cancer.

These FDA milestones come alongside recent CE marking for both the ArteraAI Prostate Biopsy Assay and the ArteraAI Breast Cancer Assay in the US and Europe.

“FDA clearance for ArteraAI Breast represents a significant expansion of our FDA-cleared AI platform in oncology,” said Andre Esteva, chief executive and co-founder of Artera.

“This milestone reflects the growing role of our technology across multiple cancer types. Breast cancer care is highly nuanced, with treatment decisions that depend on individualised risk.

“Our goal remains consistent across prostate and breast cancer, and beyond: to help clinicians translate complex data into more precise, personalised treatment decisions across the cancer journey.”

ArteraAI Breast generates an AI-derived risk score showing the likelihood of distant metastasis, meaning cancer spreading to another part of the body, in patients with early-stage HR-positive, HER2-negative breast cancer.

Using digitised histopathology images, which are scanned tissue sample images, alongside patient clinical variables, the model sorts patients into low-risk and high-risk groups based on a predefined risk score cut-off.

In early-stage HR-positive, HER2-negative breast cancer, deciding the right intensity of treatment can be complex because clinical and pathological factors vary. Artera said the tool is designed to support clinicians within established decision-making frameworks.

Data presented at the 2025 San Antonio Breast Cancer Symposium evaluated the model in early-stage breast cancer and demonstrated the potential to inform chemotherapy benefit in certain patient populations.

“This clearance represents an important advance on the road to personalising treatments for patients with early-stage breast cancer,” said Eric Winer, medical oncologist and director of the Yale Cancer Center.

“Using AI and digital pathology has the potential to streamline operational workflows, while creating a strong interdisciplinary linkage between oncology and pathology. This approach may further improve the clinicians’ ability to help patients make the best treatment decisions.”

ArteraAI Breast is designed to integrate directly into standard pathology workflows using routine surgical resection samples, without requiring additional tissue or separate specimen collection.

This approach allows the software to provide same-day results, enabling pathology laboratories to give clinicians patient-specific prognostic risk information alongside standard histopathology reports.

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