Breast Health Day is among six projects on the shortlist for the 10,000 euro European Health Award 2012, which is sponsored by the Austrian Federal Ministry of Health and FOPI.
Breast Health Day was first launched in October 2008 to raise awareness and disseminate information about the prevention and early detection of breast cancers. A new campaign is developed each year and includes posters, pamphlets, media backgrounders, a Website, and a digital editorial campaign on Facebook, Twitter, and YouTube.
Current participating countries in Breast Health Day include Belgium, Croatia, Cyprus, Czech Republic, Estonia, Finland, France, Georgia, Greece, Iceland, Ireland, Israel, Italy, Kazakhstan, Latvia, Luxembourg, Macedonia, Malta, Romania, Slovenia, Spain, Sweden, Switzerland, Tajikistan, Turkey, U.K., and Uzbekistan.
The European Health Award winner will be chosen by a panel of health experts and will be announced during this year's European Health Forum Gastein (EHFG) in Bad Hofgastein from 3 to 6 October.
![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&dpr=2&fit=crop&h=167&q=70&w=250)
