News
AI model could predict breast cancer risk without racial bias, study finds
The deep learning model has been shown to outperform traditional risk models in predicting a woman’s risk of developing breast cancer

A new AI model developed using mammogram image biomarkers could accurately predict both invasive and non-invasive forms of breast cancer without racial bias, new research has shown.
The findings, presented at the annual meeting of the Radiological Society of North America (RSNA), have suggested the model showed no bias across multiple races.
Traditional breast cancer risk assessment models use information obtained from patient questionnaires, such as medical and reproductive history, to calculate a patient’s future risk of developing breast cancer.
Data shows old models are more likely to demonstrate poor performance across different patient races, most likely due to the data used to develop the model.
“In the domain of precision medicine, risk-based screening has been elusive because we have not been able to accurately evaluate a woman’s risk of developing breast cancer,” said study lead author Leslie R. Lamb, a breast radiologist at Massachusetts General Hospital (MGH) in Boston.
“Even the best existing traditional risk models do not perform well on the individual level.
“Traditional models likely have racial biases due to the populations on which they were developed. Several of the commonly used models were developed on predominantly European Caucasian populations.”
According to the American Cancer Society, Black women demonstrate the lowest five-year relative survival rate for breast cancer among all racial and ethnic groups. This translates to a six per cent to eight per cent disparity in five-year survival rates between Black and white women across all breast cancer types.
The new deep learning AI risk assessment model developed using mammographic images has been shown to outperform traditional risk assessment models in future breast cancer development while also mitigating the racial biases seen in traditional models.
In the first study of its kind, Dr Lamb and colleagues assessed the performance of the image-based deep learning risk assessment model in predicting both future invasive breast cancer and non-invasive breast cancer across multiple races.
The study included 129,340 routine screening mammograms performed in 71,479 women between 2009 to 2018 with five-year follow-up data. Patient demographics were obtained from electronic medical records and instances of cancer were identified from the regional tumour registry.
The racial makeup of the study group included white, Black, Asian, self-reported and other races. The mean age of the women was 59 years old.
The deep learning model was shown to outperform traditional risk models in predicting a woman’s risk of developing early-stage, non-invasive breast cancer, also known as ductal carcinoma in situ (DCIS), as well as invasive breast cancer, known as invasive carcinoma.
“The model is able to translate the full diversity of subtle imaging biomarkers in the mammogram, beyond what the naked eye can see, that can predict a woman’s future risk of both DCIS and invasive breast cancer,” explained Lamb.
“The deep learning image-only risk model can provide increased access to more accurate, equitable and less costly risk assessment.”
Constance D. Lehman, senior author and breast radiologist at MGH, said: “This is a particularly exciting domain for AI, as it demonstrates the opportunity to apply ‘AI for good’—to reduce well-known racial disparities in risk assessment.
“We are now poised to translate these findings into improved clinical care for our patients.”
Fertility
Housing, work and fertility stop Britons having the families they want – research
Fertility
Femtech World reveals fertility innovation award shortlist

Femtech World is thrilled to reveal the shortlist for the Fertility Innovation Award.
The award, sponsored by FinDBest IVF, celebrates a pioneering product, service or initiative that is transforming fertility care and support.
FinDBest IVF is a global B2B digital platform created to simplify and accelerate how IVF and ART manufacturers connect with trusted, pre-vetted distributors around the world.
This year’s nominees represent a remarkable breadth of approaches to fertility care: from clinic-floor breakthroughs to at-home hormone intelligence to truly borderless access.
Three companies made the cut, with each tackling a real, persistent barrier in reproductive health.
Congratulations to the shortlist and many thanks to everyone who entered.
Fertility Innovation Award Shortlist

HRC Fertility’s Needle-Free IVF is a pioneering advancement designed to transform one of the most challenging aspects of fertility treatment: daily hormone injections.
Developed by board-certified reproductive endocrinologist Dr Rachel Mandelbaum, this innovative approach reimagines how stimulation medications are delivered during IVF and egg freezing, dramatically improving the patient experience while maintaining the same trusted clinical outcomes.
Inspired by feedback from patients who struggled with the injection process, Dr Mandelbaum adapted an innovative drug-delivery system commonly used in other areas of medicine and applied it to reproductive care

Mira is a hormonal health technology company that provides lab-grade hormone testing and AI-driven insights to help women and couples understand their fertility.
The platform has already supported more than 200,000 couples on their fertility journeys worldwide, helping over 60,000+ users achieve pregnancy.
For some users, pregnancy rates have reached up to 89 per cent within six months, demonstrating how accurate hormone data can significantly improve fertility outcomes.

Founded in 2021 by Marija Skujina, a Certified Fertility Nurse Specialist accredited by the European Society of Human Reproduction and Embryology, with nearly 15 years of clinical experience at one of the world’s top IVF clinics, and having navigated her own fertility journey as a patient, Marija built the clinic she had always wished existed.
Plan Your Baby began with a bold, but simple mission – make best quality fertility and pregnancy available anywhere.
Plan Your Baby has created a new generation fertility and pregnancy clinic with patients accessing expert consultations remotely, while blood tests and ultrasound scans are available at over 450 locations across the UK, eliminating the exhausting travel burden that often forces people to take days off work, relocate appointments, or abandon treatment altogether
What happens now
The shortlist will be judged by a representative from category sponsor FindBestIVF, with the winner announced at a virtual event on June 19.
Winners will receive a trophy and be interviewed by a Femtech World journalist.
Cancer
Common cholesterol drug shows ovarian cancer promise

A common cholesterol drug could help weaken a fluid shield that helps ovarian cancer tumours survive, early lab findings suggest.
The findings do not show the drug treats ovarian cancer. But they suggest changing the environment the cancer depends on could make it more vulnerable to existing treatment.
A federally funded study at Duke University School of Medicine found that ascites, a build-up of fluid in the abdomen, may do more than cause discomfort.
Doctors can drain ascites to ease pain, improve mobility and make breathing easier, but the fluid may also help cancer cells survive and spread. It occurs in 90 per cent of people with advanced ovarian cancer.
According to the study, ascites acts as a shield, helping cancer cells evade ferroptosis, a form of cell death.
Ferroptosis is a kind of cellular rusting. It happens when iron inside a cell reacts with certain fats, causing the cell membrane to break apart.
Many metastatic cancer cells, meaning cells that float freely through the abdomen looking for new places to grow, are naturally vulnerable to this kind of damage.
“Doctors have mostly viewed ascites as a symptom rather than an active driver of disease,” said Jen-Tsan Chi, professor in the department of molecular genetics and microbiology and co-leader of the Cancer Biology Program at the Duke Cancer Institute.
“We’ve learned it gives cancer a survival advantage, which fills a major gap in understanding how ovarian cancer spreads.”
Scientists bathed cancer cell lines and patient-derived tumour cells in ascites collected from patients and watched how they responded to ferroptosis triggers.
The fluid protected cancer cells by changing how they store fats and control iron levels, effectively blocking cell death.
The protection required only trace amounts, with as little as 2 per cent immersion shielding cancer cells from destruction.
“What surprised us was how selective this effect was,” said Yasaman Setayeshpour, first author and graduate student in molecular genetics and microbiology at Duke School of Medicine.
“Ascites didn’t protect the cancer cells from other well-known types of cell death, like apoptosis or necrosis, it only blocked ferroptosis.
“To figure out why, we broke ascites down into major parts, like lipids, proteins, and small molecules, and tested what happened when each was removed.
“When we took the lipids out, the protective effect disappeared. That told us lipids are the key reason ascites helps these cancer cells survive.”
But researchers found an unexpected helper in bezafibrate, an older cholesterol drug used to lower triglycerides by altering how the body processes fats.
The cholesterol drug restored sensitivity to ferroptosis, but only when ascites was present. On its own, the drug did not trigger cell death or slow tumour growth in mice.
The drug’s impact depended on the cancer’s surroundings, in this case the fat-rich fluid bathing the tumour. Researchers found that targeting this environment, using repurposed drugs like bezafibrate, could leave cancer cells more exposed to existing cancer treatments.
Chi said the finding could have implications beyond ovarian cancer. Other cancers, including colorectal and pancreatic cancers, can also spread within the abdominal cavity.
“This work shows how much the environment around a tumour matters,” Chi said.
“Biological fluids like ascites don’t just give cancer cells a place to move. They actively help drive how cancer spreads.”
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