Transplant glomerulopathy is a common pathology in kidney transplantation that is associated with graft loss. French researchers identified 5 groups of patients with distinct characteristics - including different renal transplant survival chances. A machine learning approach was applied to a database to get these results. This promising approach is being translated into a clinician-accessible tool to assess the risk of graft loss associated with transplant glomerulopathy.

Chronic kidney disease affects 3 million people in France. Of these, 87,000 are treated by dialysis or receive a kidney transplant. The cost of these renal substitution treatments exceeds €4 billion per year for the French health insurance system. Research on kidney disease had never been the subject of large-scale state support until recently.

Women working in a Future and Emerging Technologies (FET) project muse on 2019’s theme of #BalanceforBetter.

Discover Adenium, a small biotech company from Denmark. It develops the molecule that may become the next generation of antibiotics.