Contrast agent firms Bayer Schering Pharma and Epix Pharmaceuticals have agreed to end their marketing partnership for the Vasovist blood-pool MR angiography agent that Epix developed, the Lexington, MA-based firm said.
Bayer Schering Pharma of Berlin will transfer Vasovist rights to Epix by December 31 of this year; the collaboration agreement between the two companies will end March 1, 2009. Until that time, Bayer Schering Pharma will continue to provide Vasovist to the 19 countries where the agent is currently marketed.
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Epix to form technology advisory board, August 14, 2008
Epix's Q2 results show boosted revenues, August 7, 2008
Epix secures equity financing, August 5, 2008
Epix CEO resigns, July 28, 2008
Epix wins South Korean approval of Vasovist, July 10, 2008
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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)
