← brief for 2026-10-24 · Transplant & xeno

Feasibility of a machine learning model for predicting weight gain after kidney transplantation machine learning and weight gain after kidney transplantation.

Key takeaways

This study used a computer model to predict weight gain in 374 people after kidney transplant. It found that certain factors could help predict how much weight a person might gain. This is an observational study showing a link, not proof of cause, between these factors and weight gain.

Who did this work

de Freitas JMC (Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Su, Brazil.) · Ballester PL (Post-Graduate Program in Neuroscience, McMaster University, Hamilton, Ontario, Canada.) · Pedrollo EF (Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Su, Brazil.) · Corrêa C (Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Su, Brazil.) · Menezes RCR (Post-Graduate Program in Health Sciences, Universidade Federal de Ciências da Saúde de Porto Alegre, Porto Alegre, Rio Grande do Su, Brazil.) · Leitão CB (Department of Internal Medicine, School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.) · Souza GC (Nutrition and Dietetics Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, Rio Grande do Su, Brazil.)

Source

Article · Europe PMC, CKD · 2026-10-22
https://doi.org/10.1371/journal.pone.0360501