← brief for 2026-09-03 · Transplant & xeno

Machine learning models for early detection of urinary tract infections in kidney transplant patients.

Key takeaways

Researchers built computer models to spot early which kidney transplant patients are heading for a urinary tract infection. Transplant patients take drugs that hold down the immune system for life, so infections are common, and a bad one can injure the new kidney or shorten how long it lasts. The models were trained on past patient records, so they show patterns linked to infection, not proof that any one factor causes it. Nobody was treated differently based on the model yet.

Who did this work

Camargo-Salamanca A · Castañeda-Silva LV · Puentes-Morales C · Duitama-Leal A · Cardona-Mendoza A · Ramos-Casallas A · Perdomo SJ · Romero-Sánchez C · Gomez-Montero JA · Garcia-Lopez A · Girón-Luque F

Source

Article · PubMed, CKD progression and prevention · 2026 Sep 1
https://pubmed.ncbi.nlm.nih.gov/42680911/