The article presents the results of a study conducted by researchers at the Mayo Clinic in Rochester, Minnesota who examined biopsies of women with benign breast disease and see if it can predict breast cancer. T...
A team of researchers at the University of California, San Francisco has discovered a new way to predict breast cancer survival based on an "immune profile" – the relative levels of three types of immune cells within a tumor. Knowing a patient's profile may one day help guide treatment. M...
In this work we employ the Inductive Logic Programming technique, whose prediction model is based on first order rules, to the domain of breast cancer. These rules have the advantage of being interpretable and convenient to be used as a common language between the computer scientists and the ...
LONDON, March 15 (Xinhua) -- Scientists have been trying to better predict if and when women's breast cancer could come back using statistical tools. A team consisting of researchers from the University of Cambridge and Stanford University has examined the patterns of genetic changes within tumour...
Although predictive models exist for mortality in breast cancer (BC) (generally all cause-mortality), they are not applicable to all patients and their statistical methodology is not the most powerful to develop a predictive model. Consequently, we developed a predictive model specific for BC mortal...
Diverse diseases like breast cancer can present challenges for clinicians, specifically on a cellular level. While one patient's tumor may differ from another's, the cells within the tumor of a single patient can also vary greatly. This can be problemati
The aim of this study was to conduct an independent validation exercise of the most up-to-date version of the PREDICT algorithm (version 2) using real-world outcomes from the Scottish population of women with breast cancer. Methods Patient data were obtained for all Scottish Cancer Registry (...
The activity of two genes may help predict certain breastcancer patients’chances of survival and guide their treatment, British researchers report.“We have seen major strides in thetreatment of breast cancer, but once it begins to spread round the body it is still often fatal,” said Paul Wo...
The most commonly used gene expression profile test used to help predict breast cancer recurrence may not be as cost-effective as once thought, say a team of researchers led by Georgetown Lombardi Comprehensive Cancer Center.
MIT has found a way to detect breast cancer up to five years in advance using a deep-learning image classification model.