The European Scrutiny Committee said the U.K. government needs to explain how it will ensure a secure supply of medical radioisotopes after Brexit.
The committee's concern comes in the light of the serious shortage of radioisotopes several years ago due to the prolonged shutdown of supply reactors in Canada and the Netherlands. The principal material, molybdenum-99, is not produced in the U.K. and its decay product (technetium-99m) is used for 90% of medical interventions involving radioisotopes. Molybdenum cannot be stockpiled as it has a half-life of only 66 hours.
The supply of medical radioisotopes is becoming more fragile and requires a coordinated approach; the European Scrutiny Committee seeks assurance from the government and an explanation of how the U.K. will develop its own policy, the committee said.
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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&fit=crop&h=112&q=70&w=112)






