German industrial conglomerate Siemens reported revenue growth in its Siemens Healthcare business for the fourth quarter, but the division's operating profit slipped slightly.
For the period, Siemens Healthcare posted revenues of $4.46 billion (3.584 billion euros), up 3% from $4.33 billion (3.48 billion euros) in sales in the fourth quarter of 2013. The division's operating profit was $761 million (611 million euros), down 1% from $767 million (616 million euros) in the same quarter of 2013.
The company said that profit for the current quarter was held back by lower earnings in the division's imaging and therapy systems business, including unfavorable currency fluctuations. Orders rose in the Americas and the Commonwealth of Independent States, Africa, and Middle East regions, which offset weaker results from China.
In other news, Siemens said on November 6 that it would sell its Siemens Audiology Solutions hearing aid division to investment company EQT and Germany's Strüngmann family of entrepreneurs. The sales price for the division is $2.68 billion (2.15 billion euros).
![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)
