Medical device firm Angiotech Pharmaceuticals of Vancouver, British Columbia, received confirmation in the U.K. of the validity of one of its patents related to its paclitaxel stent inventions, the company said.
The patent at issue was granted to Angiotech by the European Patent Office (EPO) in 1997. At the EPO, five different companies opposed the patent. After more than nine years of legal battles, the validity of the patent was maintained in a decision by the House of Lords.
In 2005, Angiotech filed suit against Conor Medsystems in the Netherlands; Conor responded by commencing proceedings in the U.K. to revoke the patent. The House of Lords decision ends this suit, according to Angiotech.
Related Reading
Angiotech gets clearance for central venous catheter, April 17, 2008
Cook, Angiotech restructure licensing deal, September 24, 2004
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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)
