Alberto Tozzi · [Not Available]

From Dr. Alberto Tozzi

Article1 min read·Published Jan 2025

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pubmed.ncbi.nlm.nih.gov

[Not Available]

Alberto Tozzi

This study explores lymphocyte profiles as non-invasive biomarkers for classification of pediatric nephrotic syndrome (NS). Using retrospective clinical and immunological data from 205 patients, the aim is to develop a predictive model based on Long Short-Term Memory to identify NS subtypes. By comparing models with and without immunological data, the study will assess the value of immune profiles. The goal is to support personalized management while reducing the need for invasive procedures.

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Article · Jan 2025 · 1 min read

In brief

In brief

This retrospective study develops an LSTM-based predictive model using lymphocyte profiles to non-invasively classify pediatric nephrotic syndrome subtypes in 205 patients. By comparing models with and without immunological data, researchers aim to validate immune biomarkers as alternatives to invasive kidney biopsies for personalized treatment decisions.

Written by the GCMD Library team from the article.

Alberto Tozzi

This study explores lymphocyte profiles as non-invasive biomarkers for classification of pediatric nephrotic syndrome (NS). Using retrospective clinical and immunological data from 205 patients, the aim is to develop a predictive model based on Long Short-Term Memory to identify NS subtypes. By comparing models with and without immunological data, the study will assess the value of immune profiles. The goal is to support personalized management while reducing the need for invasive procedures.

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