Bracco molecular imaging subsidiary Blue Earth Diagnostics has acquired exclusive, worldwide rights to therapeutic applications of radiohybrid prostate-specific membrane antigen (rhPSMA) technology developed by German radiopharmaceutical firm Scintomics and the Technical University of Munich (TUM).
The deal follows on Blue Earth's 2018 purchase of exclusive rights to imaging applications of the rhPSMA technology for prostate cancer. The rhPSMA technology is a theranostic radiohybrid platform that is capable of labeling prostate cancer cells in conjunction with either PET imaging radiopharmaceuticals such as fluorine-18 (F-18) or therapeutic radioisotopes such as lutetium-177 (Lu-177) and actinium-225 (Ac-225), according to the company.
Blue Earth said it would drive development of a lead radiolabeled rhPSMA therapeutic compound and continue to collaborate with the TUM to identify additional therapeutic candidates for future development. The vendor also noted that two phase III clinical trials are currently investigating the use of the rhPSMA-7.3 lead candidate in PET imaging of prostate cancer, according to Blue Earth.
![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)
