Contrast agent developer Palatin Technologies has raised $11.5 million through the private placement of securities to institutional and accredited investors. The Cranbury, NJ-based firm said it would use the proceeds primarily to advance the development of its LeuTech infection imaging agent and further development of its PT-141 drug for the treatment of male and female sexual dysfunction.
By AuntMinnie.com staff writersNovember 20, 2002
Related Reading
Palatin’s revenues down, losses up in fiscal 2002, October 1, 2002
Palatin adds to war chest, August 2, 2002
Palatin, Mallinckrodt restructure deal, May 15, 2002
Palatin raises $11 million, November 12, 2001
LeuTech to be tested for anthrax detection utility, November 5, 2001
Copyright © 2002 AuntMinnie.com
![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)
