Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.

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Title: Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.
Authors: Nadal-Martínez, Antonio1,2,3 (AUTHOR) morgan.monzon@n-gene.ai, Pérez-Solero, Guillermo2,4 (AUTHOR), Ferreiro López, Sandra3,4 (AUTHOR), Blom-Dahl, Jorge4 (AUTHOR), Montanya, Eduard5,6 (AUTHOR), Alonso-Bernáldez, Marta4,6 (AUTHOR), Shabot, Moises4,7 (AUTHOR), Binsch, Christian7,8,9 (AUTHOR), Szczerbinski, Lukasz9,10,11,12,13,14 (AUTHOR), Kretowski, Adam10,13,14,15 (AUTHOR), Nevado, Julián11,16,17,18,19 (AUTHOR), Lapunzina, Pablo12,16,17,18,19 (AUTHOR), Wagner, Robert7,8,9,13 (AUTHOR), Tenorio-Castano, Jair4,14,16,17,18,19 (AUTHOR)
Source: International Journal of Molecular Sciences. Apr2026, Vol. 27 Issue 7, p2966. 19p.
Database: Academic Search Ultimate
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  Data: Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Molecular+Sciences%22">International Journal of Molecular Sciences</searchLink>. Apr2026, Vol. 27 Issue 7, p2966. 19p.
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              Text: Apr2026
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