The future of early cancer detection
A proactive approach to detecting cancer at an early stage can make treatments more
effective, with fewer side effects and improved long-term survival. However, as detection …
effective, with fewer side effects and improved long-term survival. However, as detection …
Challenges and opportunities for develo** more generalizable polygenic risk scores
Polygenic risk scores (PRS) estimate an individual's genetic likelihood of complex traits and
diseases by aggregating information across multiple genetic variants identified from genome …
diseases by aggregating information across multiple genetic variants identified from genome …
Smart textiles for self-powered biomonitoring
Merging electronics with textiles has become an emerging trend since textiles hold
magnificent wearing comfort and user-friendliness compared with conventional wearable …
magnificent wearing comfort and user-friendliness compared with conventional wearable …
The current status of risk-stratified breast screening
Apart from high-risk scenarios such as the presence of highly penetrant genetic mutations,
breast screening typically comprises mammography or tomosynthesis strategies defined by …
breast screening typically comprises mammography or tomosynthesis strategies defined by …
The impact of the Covid-19 pandemic on breast cancer early detection and screening
The COVID-19 pandemic affects mortality and morbidity, with disruptions expected to
continue for some time, with access to timely cancer-related services a concern. For breast …
continue for some time, with access to timely cancer-related services a concern. For breast …
Comparison of mammography AI algorithms with a clinical risk model for 5-year breast cancer risk prediction: an observational study
Background Although several clinical breast cancer risk models are used to guide screening
and prevention, they have only moderate discrimination. Purpose To compare selected …
and prevention, they have only moderate discrimination. Purpose To compare selected …
Study protocol comparing the ethical, psychological and socio-economic impact of personalised breast cancer screening to that of standard screening in the “My …
Abstract Background The MyPeBS study is an ongoing randomised controlled trial testing
whether a risk-stratified breast cancer screening strategy is non-inferior, or eventually …
whether a risk-stratified breast cancer screening strategy is non-inferior, or eventually …
Artificial intelligence in mammographic phenoty** of breast cancer risk: a narrative review
Background Improved breast cancer risk assessment models are needed to enable
personalized screening strategies that achieve better harm-to-benefit ratio based on earlier …
personalized screening strategies that achieve better harm-to-benefit ratio based on earlier …
Prospective validation of the BOADICEA multifactorial breast cancer risk prediction model in a large prospective cohort study
X Yang, M Eriksson, K Czene, A Lee, G Leslie… - Journal of medical …, 2022 - jmg.bmj.com
Background The multifactorial Breast and Ovarian Analysis of Disease Incidence and
Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been …
Carrier Estimation Algorithm (BOADICEA) breast cancer risk prediction model has been …
Vision-transformer-based transfer learning for mammogram classification
Breast mass identification is a crucial procedure during mammogram-based early breast
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …
cancer diagnosis. However, it is difficult to determine whether a breast lump is benign or …