Cancer
Innovators are using AI to bridge gaps in breast cancer care

AI is increasingly being leveraged to address challenges in breast cancer care, from a “second set of eyes” during screening to enabling more personalised treatments. Innovators say it can not only deliver better outcomes, but also make medicine more accurate and accessible.
Breast cancer is the leading cancer in women globally, affecting around two million women, or one in eight, every year.
Early detection is critical for improving survival rates, with over 90 per cent of women surviving for five years or more when the cancer is diagnosed in the early stages.
However, research has shown that between 20 and 40 per cent of cancers may be missed through routine 2D mammography alone, particularly among women with dense breast tissue, which makes tumours harder to detect without specialist diagnostic tools.
AI is increasingly being leveraged to address these challenges, from enhanced imaging interpretation and risk prediction to personalised diagnostics and treatment planning.
On World Cancer Day (February 4), the NHS announced a ‘world-leading’ trial to test how AI tools can be used to catch breast cancer cases earlier, with 700,000 women taking part at more than 30 breast clinics across England.
The EDITH trial (Early Detection using Information Technology in Health) is backed by £11 million of government support. It aims to double radiologist capacity, speed up results, and detect cancers earlier via algorithm‑based comparisons with historical imaging.
The technology will assist radiologists in identifying changes in breast tissue that show possible signs of cancer, enabling just one specialist to complete the same mammogram screening that would previously have required two to carry out the process safely and efficiently.
In a previous trial, involving 10,000 women receiving care through the NHS, an AI tool known as Mia identified small signs of breast cancer in 11 women which had been missed by doctors.
Announcing the EDITH pilot in February, Lucy Chappell, chief scientific adviser at the Department of Health and Social Care and CEO of the National Institute for Health Research, said the “landmark trial” could lead to a “significant step forward in the early detection of breast cancer”, offering women faster, more accurate diagnoses.
“A second set of eyes”
AI algorithms are now being widely used as “second readers” to analyse scans and flag abnormalities that might otherwise go unnoticed. Clinical trials in Europe and the US have demonstrated that AI-supported screening can increase detection rates while maintaining or reducing false positives.
A nationwide study in Germany, thought to be the first to use AI screening from the outset in a real-world setting, found that radiologists with access to AI technology had a 17.6 per cent higher rate of detection compared to the control group.
“The addition of AI has improved our ability to detect cancers years earlier, especially in women with dense breast tissue, where traditional mammography has limitations,” Dr Sean Raj, chief innovation officer at SimonMed Imaging, tells Femtech World.
Mammogram+, developed by SimonMed, integrates 3D mammography with FDA-cleared AI to generate up to 400 high-resolution images per scan, compared to just four in a standard 2D mammogram.
“The AI system in Mammogram+ acts as a second set of highly trained eyes, assisting radiologists in detecting potential malignancies,” Dr Raj explains.
“It works to analyse each image quickly and provide key data from a completely objective point of view, allowing our radiologists to build on perspectives they may not have had before.”
While the AI is enhancing its capability, human intelligence remains central to the programme’s efficacy.
“Our radiologists bring extensive expertise and clinical judgment, while AI provides a complementary, unbiased perspective,” Dr Raj adds.
“By working together, we achieve the best of both worlds, human experience combined with advanced computational analysis.”
While long-term outcome data is still being collected, SimonMed has observed promising early results from the implementation of Mammogram+, including increased confidence for radiologists interpreting images and patients receiving their results, he says.
Patients are also demonstrating higher levels of engagement in their care, which he puts down to the programme’s focus on delivering ‘clear, actionable results’.
Patients receive an easy-to-read report the same day, explaining breast density, personal risk score, and outlining a tailored action plan.
“We believe that when patients are provided with clear information about their breast health and a personal action plan outlining exactly what to do, they are more likely to take the next step,” he adds.
More personalised and effective treatments
Once a patient has been diagnosed with breast cancer, outcomes largely depend on having quick access to the most effective treatment.
But despite decades of advancements in the field, there are still a lot of unknowns when it comes to the question of which treatment a tumour will respond to.
“Part of the reason breast cancer is so difficult to treat is that no two tumours are alike. Even within a single tumour, cells can behave very differently, explained Wolfgang Hackl, translational oncology scientist and founder and CEO of Swiss startup OncoGenomX, in a recent editorial for Femtech World.
Hackl believes the decision lies in precision oncology, and with OncoGenomX, has developed a clinical decision support platform to personalise precision cancer treatment to enable individualised therapeutic decisions.
According to the company’s research, 56 per cent of women living with metastatic breast cancer are at risk of receiving suboptimal treatment compositions, leading to poorer clinical outcomes and avoidable cancer care costs.
OncoGenomX’s PredictionStar™ tool uses AI and machine learning algorithms to identify whether a certain therapy works in a particular tumour and finds the most effective treatment for each patient and their tumour. It has been found to reduce the over-treatment rate by at least 40 per cent, incurring a five-fold lower risk of cancer regrowth.
“PredictionStar takes away the uncertainty around breast cancer treatment decisions and increases the likelihood of opting for the most effective treatment combination without delay and without exposing the patient to the side effects of an ineffective treatment,” says Hackl.
AI and its role in the gender health gap
The potential of AI in healthcare extends far beyond breast cancer, with the potential to address other areas of medicine where women are underdiagnosed, undertreated and have poorer outcomes, such as cardiovascular care.
SimonMed has just launched a new AI-powered software that detects breast arterial calcifications (BAC), offering “enhanced care and a two-for-one mammogram”.
“Using the same screenings from the mammogram, we can detect the presence of BAC, providing dual insights into two of the biggest health risks for women, breast cancer and heart health, all without extra radiation or procedure time for the patient,” Dr Raj explains.
“For years, women have faced a gender health gap, affecting women’s access and affordability, misdiagnosis, and medical research bias.
“We’re excited by the possibility that AI can help us close that gap and improve health outcomes for women by having more accurate, faster tools for the detection and treatment and providing patients and their providers with more data and insights to make more informed decisions, sooner.”
He adds: “With the help of AI in women’s healthcare, like breast cancer detection, we will be able to improve health outcomes for women, making healthcare more accessible, affordable, and accurate.”
Urging caution – governance and collaboration
However, several experts and peer-reviewed papers have urged caution around the widespread use of AI, with risks including overdiagnosis, false positives, bias, and workflow disruption, highlighting the importance of regulatory oversight and ethical safeguards.
A review published earlier this year raised several concerns, including inconsistent performance, poor generalisability, lack of robust evidence frameworks, trust issues among clinicians, and gaps in legal and ethical governance.
The researchers concluded that more robust strategies are needed before AI can be scaled for routine use in breast cancer screening, making recommendations for a “comprehensive AI governance framework”.
“While AI has the potential to improve diagnostic accuracy and efficiency, its broader implications include promoting equitable health care delivery, strengthening patient trust, and supporting the ethical development of AI technologies,” the authors write.
“Policy makers, clinicians, and AI developers must work collaboratively to establish adaptable and transparent systems that prioritise patient safety and societal benefits.
“Future research should focus on real-world case studies, longitudinal assessments, and cross-disciplinary collaborations to effectively refine and implement these governance strategies.”
Diagnosis
Glaucoma drugs could one day be used to treat breast cancer – study

Glaucoma drugs could potentially be repurposed to treat aggressive breast cancer after researchers identified markers linked to response.
Scientists found that several cancers, including breast cancer, melanoma and a type of blood cancer, rely on the same molecule to become aggressive and spread.
Drugs that block the molecule are already used to treat glaucoma and may therefore have potential as cancer treatments.
Researchers also identified markers that could help indicate which patients may respond well to the drugs.
Experts said the findings could help establish which patients may benefit from existing treatments.
Repurposing medicines already shown to be safe could also allow treatments to reach patients faster.
Lead author Victoria Sanz Moreno, professor of cancer cell and metastasis biology at The Institute of Cancer Research in London, said: “Some cancers are particularly aggressive, and once they spread they become very hard to treat.
“Catching these aggressive cancers and preventing their ability to move around the body is really crucial to our mission to keep more people living well with cancer.
“Our research has identified a shared weakness of aggressive cancer cells that could be targeted across many cancer types, wherever they originate in the body.
“We confirmed our findings in aggressive cancers such as breast cancer, melanoma, and a type of blood cancer called acute myeloid leukaemia, but we believe this molecular fingerprint of cancer cells likely to die after treatment applies to many more cancer types.
“It’s reassuring to know that a treatment already exists – a drug currently being used safely in some patients could be adapted to treat these cancers.”
Researchers set out to find markers that could identify which cancers would respond well to drugs blocking ROCK, also known as Rho kinase.
Aggressive cancer cells rely on ROCK as they spread around the body and cause advanced disease that is harder to treat.
The molecule keeps the scaffolding inside cells tense, causing them to contract and become round and generating enough force for cancer cells to squeeze through tissue.
The team, working in the Breast Cancer Now Toby Robins Research Centre at The Institute of Cancer Research, examined data from a drug-sensitivity database to identify which cancer cells responded to ROCK inhibitors.
Breast cancer cells that responded to ROCK inhibitors had a particular gene called E-Cadherin that was not working properly.
In melanoma, responsive cells tended to have a more rounded shape and high activity in a signalling pathway called NFKB.
Acute myeloid leukaemia cells that responded well to ROCK inhibitors had a specific subset of genetic alterations.
Researchers then tested the findings in laboratory tumour samples and mouse studies.
They hope tumour biopsies showing these markers could eventually help identify patients who may respond well to ROCK inhibitors.
Dr Simon Vincent, chief scientific officer at Breast Cancer Now, said: “With around 11,500 women tragically dying from breast cancer every year in the UK, research like this is vital to finding more effective treatment options.
“This study helps to lay the foundation for understanding who among those with certain cancers, including breast cancer, might benefit most from existing drugs. Finding new uses for existing treatments, which we know people can safely take, is easier and faster than developing new cancer drugs from scratch.
“It’s encouraging that these drugs may be especially effective in targeting cancer cells that are more likely to spread and resist treatment.
“While this research is still at an early stage and clinical trials are needed, it’s an important step towards more personalised breast cancer treatments in the future.”
First author Jaume Barcelo, formerly a postdoctoral research fellow at The Institute of Cancer Research in London and now based at Barts Cancer Institute at Queen Mary University of London, said: “Our study has identified a specific pattern of features that is consistent across many cancer types, and that can be used to match the right patients to this treatment.
“The next stage for this research will be to test how these drugs that inhibit ROCK work in combination with other treatments, to maximise the benefit for patients.
“As ROCK inhibitors are already approved to treat glaucoma, I hope that our findings can be used to progress the drugs into clinical trials to treat cancer in the near future.”
The research was funded by The Institute of Cancer Research, Breast Cancer Now, Barts Cancer Charity, Cancer Research UK, Worldwide Cancer Research and UK Research and Innovation.
Susanna Daniels, chief executive officer of Melanoma Focus, said: “Despite major advances in melanoma treatment over the past decade, too many people still die from the disease each year, and not every patient responds to the treatments currently available.
“Every new discovery improves our understanding of how melanoma grows and survives, bringing us closer to treatments that are more effective, more targeted and have the potential to improve survival.
“While these findings are still at an early stage and will need to be tested in clinical trials, they offer an encouraging direction for future melanoma research and the development of more personalised treatments.”
Diagnosis
Where women live may influence ovarian cancer survival, especially among Black women – study

Women living in socially vulnerable neighbourhoods had a 20 per cent higher risk of death after an ovarian cancer diagnosis, a study found.
Black women also faced a 45 per cent higher risk of death than white women.
Researchers said the combination of being Black and living in a highly vulnerable neighbourhood was linked to a greater risk of death than would be expected from either factor alone.
Francesmary Modugno, professor in the Department of Obstetrics, Gynecology and Reproductive Sciences at the University of Pittsburgh and senior author, said: “We expected residential context to influence outcomes, but what surprised us was how much stronger the impact was for Black women.
“Our findings suggest that it’s not simply where someone lives. The interaction between a woman’s lived experience and her residential environment may be helping drive these persistent disparities.”
Modugno is part of the Women’s Cancer Research Center, a collaboration between UPMC Hillman Cancer Center and Magee-Womens Research Institute.
Epithelial ovarian cancer is the deadliest form of gynaecological cancer, with around half of patients surviving for five years after diagnosis.
Survival is lower among Black women, with fewer than 40 per cent alive five years after diagnosis.
Differences including age at diagnosis, cancer stage and tumour type explain some of the survival gap, but researchers said a substantial proportion remains unexplained.
Researchers examined whether social determinants of health, including conditions in the communities where patients live, could help explain the remaining difference in outcomes.
The study, carried out with researchers at the University of Alabama at Birmingham, analysed data from 2,544 women diagnosed with epithelial ovarian cancer and treated at the O’Neal Comprehensive Cancer Center.
The group included 509 Black women and 2,035 white women.
Researchers linked patients’ residential census tracts to the US Centers for Disease Control and Prevention’s Social Vulnerability Index.
The index measures neighbourhood factors including poverty, housing conditions, transport access, educational attainment and other socioeconomic challenges.
Black women in the study were more likely to live in highly vulnerable neighbourhoods.
However, where women lived did not fully explain the racial difference in survival.
Black women had poorer survival than white women even when they lived in similarly advantaged communities, while being Black and living in a highly vulnerable neighbourhood together was associated with a greater risk of death than expected from either factor alone.
Researchers said the findings could help health systems and cancer services identify women at greater risk and provide additional support.
Possible measures include patient navigation programmes, transport assistance, childcare support and survivorship services to help patients complete treatment and manage the challenges of cancer care.
Rebecca Arend, associate professor of gynaecology oncology at the University of Alabama at Birmingham, said: “Our findings reinforce that we must better understand and address the barriers patients face in their communities and ensure that every woman has equitable access to high-quality care.”
Arend, who is also associate director of clinical research at the O’Neal Comprehensive Cancer Center, added: “Translating research into meaningful improvements in cancer outcomes is only possible through strong collaborations among academic medical centres, researchers and community partners.”
The study builds on research published in 2025 led by Modugno and University of Pittsburgh colleagues using data from UPMC Hillman Cancer Center in western Pennsylvania.
That research also found an association between social vulnerability and ovarian cancer survival.
The latest analysis included a substantially larger group of Black women and examined more closely how residential conditions might contribute to racial inequalities in outcomes.
Researchers said the findings need to be replicated in other parts of the US and among additional racial and ethnic groups to determine how widely they apply.
Future work will examine other social and environmental factors that could affect ovarian cancer survival, including neighbourhood pollution, access to food and community resources.
Researchers hope the findings could lead health systems to develop more targeted support for patients at greatest risk of poor outcomes.
Adding neighbourhood measures such as the Social Vulnerability Index to cancer care planning could help health systems identify women facing barriers to care and connect them with support during treatment.
Wellness
Weekly app monitoring reduces breast cancer fatigue, study shows

Weekly app monitoring can reduce fatigue and improve daily life for women with metastatic breast cancer, according to a study.
The approach involves regularly asking patients about their wellbeing through an app and responding quickly when problems are identified.
Germany’s Federal Joint Committee, known as the G-BA, has recommended that the treatment model be incorporated into standard care.
Professor Maria Karsten, senior attending physician at the Charité Breast Cancer Center and initiator of the PRO B project, said: “The new medications often no longer need to be administered at the hospital but can be taken at home.
“As a result, we see patients less frequently at the hospital, and our medical oversight has become somewhat incomplete.
“In order to close this gap and provide patients with close support in spite of the distance, we have developed the PRO B digital treatment concept.”
Around 68,000 women in Germany are living with metastatic breast cancer, meaning the disease has spread to other organs.
At this stage, the cancer is generally considered incurable. Modern treatments can, however, temporarily control the disease and extend life expectancy by several years, with some women able to continue working.
At the centre of PRO B is an app that asks women up to 52 structured questions once a week about their symptoms, daily life and emotional wellbeing.
Questions include whether they have experienced pain, felt too tired to carry out their usual activities or experienced shortness of breath.
An algorithm analyses the answers and immediately alerts the treatment team when relevant changes are detected.
The team then contacts the patient within 48 hours to decide whether any action is needed.
Karsten said: “During these phone calls, for example, we discuss whether the dosage of anti-nausea medication should be adjusted or offer practical tips for managing the various symptoms.
“But we also detect serious side effects more quickly – such as those indicated by a seemingly harmless symptom like fatigue – and can immediately schedule the patient for an appointment at the hospital.”
The study involved 909 women with metastatic breast cancer aged 19 to 81 across 52 breast cancer centres in Germany and followed them for one year.
Around half received PRO B care alongside drug-based cancer treatment.
The other half answered questions about their wellbeing once every three months and were not contacted by their treatment teams in response.
Women receiving PRO B care reported significantly less fatigue, which refers to physical, emotional or mental exhaustion that can severely restrict daily life.
They also rated their physical functioning more positively and required fewer hospital admissions.
Karsten said: “These are effects that have a noticeable impact on the patients’ daily lives; the women are more capable and better able to manage their lives.
“We even have evidence that the PRO B approach extends the remaining lifespan for some patients. We are achieving all of this not through a new medication, but simply by regularly and systematically assessing the women’s well-being and responding accordingly.”
More than 90 per cent of women in the PRO B group said after the study that they wanted the approach to become part of routine care.
Stephanie Neumann-Johnston, 51, who took part in the study, said: “I feel like the app has saved my life several times.
“There are so many situations and incidents that you can’t make sense of – you have so many questions.
“With the app, I can look up common problems and find medically reviewed information, for example, about fatigue. That way, I can help myself, also on the weekends.
“And the personal contact provides me with emotional and medical support.
“For example, I can find out whether I’m allowed to take certain medication for a fever, or get an assessment of my situation: Should I go to the emergency department with these symptoms or not? The app takes a huge weight off your shoulders.”
Based on the medical findings and a health economic analysis, the G-BA recommended in June that PRO B should be incorporated into standard care.
This would allow patients with statutory health insurance to access the model in future when they receive the relevant diagnosis.
PD Dr Christoph Kowalski, department director at the German Cancer Society and a co-author, said: “This recommendation must now be implemented as quickly as possible.
“If a new care concept offers medical and economic benefits, we should not withhold it from the most seriously ill women.”
The health insurance companies involved in the project are also planning further developments so affected women can receive routine PRO B care before its wider introduction into standard care, with access expected to begin this autumn.
The care model will continue under the name “ida”, led by Karsten and her team.
The PRO B project ran from 2020 to 2024 and received around €4.8m from the Innovation Committee of the Federal Joint Committee.
The project was led by Karsten, with consortium partners BARMER, mkk – meine krankenkasse, DAK-Gesundheit, the German Cancer Society and OnkoZert GmbH.
Breast cancer is the most common cancer among women in Germany, with around one in eight expected to develop the disease during their lifetime.
Worldwide, breast cancer is the leading cause of cancer-related deaths.
Despite advances in treatment, 30 per cent of women with early-stage breast cancer and up to 70 per cent of those with lymph node involvement in later stages develop distant metastases, which typically make the disease incurable.
For patients with metastatic breast cancer, treatment aims to prolong life while maintaining the best possible quality of life.
Since 2016, the G-BA has been responsible for supporting new forms of care that go beyond existing standards, as well as health services research aimed at improving healthcare quality in Germany.
Its Innovation Fund is financed through contributions from statutory health insurance plans and the Health Fund.
News1 week agoUK femtech investment surges 194% in a decade, research finds
Entrepreneur1 week agoTidalSense raises £14m to expand five-minute COPD test across NHS
Cancer2 weeks agoCancer patient receives ‘landmark’ treatment in world-first
News1 week agoCross-Border Impact Ventures raises US$58m for women and children’s health
Insight1 week agoWomen urged to be wary of menopause misinformation on social media
Insight2 weeks agoJohnson & Johnson offers to pay US$5.5bn to settle talc cancer lawsuits
Menopause1 week agoCultural stigma is a barrier to menopause help, black women say
Motherhood1 week agoOne in eight mothers diagnosed with gestational diabetes, research finds












