Article
Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.
International journal of molecular sciences - 25 Mar 2026
Nadal-Martínez Antonio, Pérez-Solero Guillermo, Ferreiro López Sandra, Blom-Dahl Jorge, Montanya Eduard, Alonso-Bernáldez Marta, Shabot Moises, Binsch Christian, Szczerbinski Lukasz, Kretowski Adam, Nevado Julián, Lapunzina Pablo, Wagner Robert, Tenorio-Castano Jair
Abstract excerpt
Type 1 diabetes (T1D) is an autoimmune disease with a strong genetic component (~70% heritability). Early identification of individuals at risk is crucial for early intervention or risk assessment. Although polygenic risk scores (PRS) have shown promise in risk assessment, most current approaches remain constrained by linear assumptions and limited generalizability. We aimed to develop a neural network-driven...
Read the complete abstract on PubMedTopics
Share this publication in a Topic to start or enrich a Post.