German industrial conglomerate Siemens of Erlangen today announced it will reduce its global workforce by some 16,700 jobs in a mix of layoffs and restructurings.
The company's Siemens Healthcare division will lose approximately 2,800 jobs worldwide. Plans are to eliminate 600 healthcare positions in Germany, 650 jobs elsewhere in Europe, and 1,550 positions outside of Europe.
Approximately 1,550 healthcare job cuts will be in administration-related functions. A maximum of 1,250 additional layoffs will come primarily from the Imaging & IT and Workflow & Solutions divisions.
Siemens announced last November its intention to reduce sales, general, and administrative costs to what the company described as a "competitive level." Plans now call for reducing costs by 1.2 billion euros (approximately $1.9 billion U.S.) by 2010.
Some expense reductions will come from lower expenditures for IT infrastructure and consultants. Savings in personnel also are part of the program to reduce costs now that the company has streamlined its top management level. Siemens' managing board has been reduced from 11 members to eight.
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![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)
