Breast cancer (breast carcinoma; often abbreviated as BRCA) is the most common cancer in women in many countries and the cancer with the highest mortality rate. The diagnostic and therapeutic options for breast cancer are correspondingly diverse. Read more about the latest research, diagnoses and treatments.
Late-stage breast cancer patients are more often affected by brain metastases than previously believed, a new study finds. The researchers suggest that MRI screening guidelines should reflect this.
A new study measured how well breast cancer patients’ tumour ‘explants’ respond to chemotherapy or HER2 antibody therapy in the laboratory. This could help improve clinical outcomes.
Improved breast cancer detection, reduced workload for radiologists: The world’s largest prospective study on AI in Germany’s Mammography Screening Program reveals the technology's benefits.
Researchers at the National University of Singapore (NUS) have developed a non-invasive method to improve the effectiveness of breast cancer chemotherapy while reducing its harmful side effects.
A certain type of cells, called aneuploid epithelial cells, are usually associated with breast cancer. However, new research reveals that they can also be found in healthy women.
A new imaging technique reduces skin tone bias in breast cancer detection, improving visibility across diverse skin tones.
New insights gained from 3D cell cultures of breast and prostate cancer grown on the International Space Station (ISS) National Laboratory could lead to a way to treat not just these but all cancers.
In many cases, metastatic breast cancer is still incurable. To improve the odds, researchers have now analyzed the diversity of metastatic cells and their interactions with their cellular environment.
The year: 2034. Breast cancer patients benefit from perfectly personalised diagnostics and therapies. The tedium of follow-up treatments is a thing of the past, thanks to AI, augmented reality and robotics. Just a tale from the realm of science fiction, or could this soon be clinical reality? At the annual meeting of the German Senologic Society, Prof Dr Marc Thill from the Agaplesion Markus…
Immunotherapy has become the most promising strategy for treating several cancers, but its effectiveness is still very uneven. Three researchers explain how research is being done to change this.
Minimally invasive surgical interventions, innovative imaging and the use of AI: At the upcoming EUSOBI congress in Lisbon, experts present and discuss the latest advances in breast imaging. We spoke with Tanja Brycker from Hologic ahead of the event about new trends in women’s health, the company’s investment in innovation and education, and what the future of mammography looks like with the…
A new study confirms fibrosis as a prognostic indicator in HER2-negative, the most common breast cancer, and opens the way to antifibrotic drug treatments.
Evidence of the superiority of tomosynthesis for breast cancer detection is stacking up, with new results from a 10-year study further demonstrating the 3D imaging technique's benefits.
Two international studies presented at the ESMO Congress 2024 show no increase in recurrence or new breast cancers in women who breastfeed after being treated for breast cancer.
Mammography can lead to “false positives,” meaning they do not result in a breast cancer diagnosis. This may discourage some women from future screenings, according to a new study.
After breast cancer surgery, radiotherapy helps prevent the cancer from returning. However, this protection does not last forever. A long-term study shows the duration of the treatment's benefits.
Researchers at MIT and ETH Zurich developed an AI model that identifies certain breast cancer stages likely to progress to invasive forms of cancer.
Sentinel lymph node biopsies can help detect breast cancer – but not every patient benefits from the procedure. New research finds that a simple EHR prompt can prevent unnecessary surgery.
Ductal Carcinoma in Situ (DCIS) often develop into more invasive forms of breast cancer. To predict which DCIS patients are likely to be affected, researchers have developed an analytic AI-based tool.
