
The U.S. Department of Energy (DOE) is moving to allow the export of weapons-grade uranium, the same substance used to manufacture medical isotopes, such as molybdenum-99 (Mo-99).
The DOE waived its two-year ban on exporting licenses issued by the U.S. Nuclear Regulatory Commission, in part so that Belgian radioisotope producer Institute for Radioelements could obtain highly enriched uranium (HEU) to make Mo-99 and other isotopes, according to a report on 8 January by Reuters.
The DOE's action was revealed in a letter on 2 January from Dan Brouillette, U.S. secretary of energy, to the U.S. House of Representatives' energy committee. Brouillette told the lawmakers that Mo-99 produced outside the U.S. is needed to meet nuclear medicine imaging demands in the U.S., according to the report.
Opponents of the DOE policy allege that the release of HEU could increase the risk of nuclear proliferation and adversely affect U.S. and foreign companies that are converting to safer Mo-99-producing materials, such as low-enriched uranium.










![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&fit=crop&h=112&q=70&w=112)






