Artificial Intelligence in breast cancer screening – part 2: international differences
Previously we reported on a major study evaluating AI as a tool to identify breast cancer on mammography. The results were impressive. In the UK, […]
Artificial Intelligence in breast cancer screening – part 1: are computers developing 20/20 vision?
Despite many technological advances in mammographic imaging over the last century, breast cancer screening is largely the same as it was when first studied 60 […]
Cancer Prevention Group’s Christmas reading list
As the year draws to an end, we have been looking back and reflecting on the groups achievements in 2019. We decided that the best […]
Smoking: it’s the end of the word as we know it. Report from the e-Cigarette summit.
In this post Georgia Mannion-Krase (@GeorgiaMKrase) updates us on events at the E-Cigarette (EC) Summit held at the Royal Society on the 14th November 2019. […]
Global Perspectives on Screening: Sub-Saharan Africa
Changing burdens of disease When we discuss the burden of disease in regions such as Sub-Saharan Africa (SSA), our mind immediately jumps to examples such […]
Structural racism – a root cause of health inequities?
We have all heard how cancer outcomes are poorer for people in low socioeconomic groups and those from ethnic minority backgrounds. Although I knew that […]
Five minutes with: Professor Kirsten McCaffery
Our “Five Minutes With” series seeks to discover what are the habits, inspirations and obstacles that have shaped the careers of leading cancer researchers and […]
The Mysterious Case of an American Epidemic of Vaping-Related Lung Injuries
Deep down every epidemiologist imagines themselves as Sherlock Holmes: equipped with little more than a magnifying glass and a good brain, they dream of becoming […]
Five Minutes With: Professor Richard Sullivan
Our “Five Minutes With” series seeks to discover what are the habits, inspirations and obstacles that have shaped the careers of leading cancer researchers and […]
The idea of a population
Clinical predictions are based on past experiences of a given population. In this post David Armstrong, Professor of Medicine and Sociology at King’s College London […]