Contrast agent developer Epix Medical reported third-quarter revenues of $3.6 million, up 89% from the $1.9 million booked in the third quarter of 2000. For the period (end-September 30), the Cambridge, MA-based firm had a net loss of $4 million, compared with a net loss of $4.3 million reported in the third quarter of 2001.
During the third quarter, Epix received $1.8 million from a product development contract with Schering, and $1.8 million from a patent licensing and royalty agreement from Bracco Imaging. In the third quarter of 2000, Epix received $1.9 million from the Schering development contract.
By AuntMinnie.com staff writersOctober 19, 2001
Related Reading
Epix, Bracco ink licensing deal, September 25, 2001
Wirth joins Epix Medical board, August 30, 2001
Epix net loss grows in Q2, July 27, 2001
Epix trims net loss, April 27, 2001
Epix, InSightec, Brigham and Women's team up, March 12, 2001
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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.auntminnie.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)
