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

Nadal-Martínez A, Pérez-Solero G, Ferreiro López S, Blom-Dahl J, Montanya E, Alonso-Bernáldez M, Shabot M, Binsch C, Szczerbinski L, Kretowski A, Nevado J, Lapunzina P, Wagner R, Tenorio-Castano J

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DOI: 10.3390/ijms27072966
Published: 2026 Mar 25
Container: International journal of molecular sciences
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/ijms27072966,
  title = {Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.},
  author = {Nadal-Martínez A and Pérez-Solero G and Ferreiro López S and Blom-Dahl J and Montanya E and Alonso-Bernáldez M and Shabot M and Binsch C and Szczerbinski L and Kretowski A and Nevado J and Lapunzina P and Wagner R and Tenorio-Castano J},
  year = {2026},
  journal = {International journal of molecular sciences},
  doi = {10.3390/ijms27072966},
  url = {https://doi.org/10.3390/ijms27072966}
}

RIS

TY  - JOUR
TI  - Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.
AU  - Nadal-Martínez A
AU  - Pérez-Solero G
AU  - Ferreiro López S
AU  - Blom-Dahl J
AU  - Montanya E
AU  - Alonso-Bernáldez M
AU  - Shabot M
AU  - Binsch C
AU  - Szczerbinski L
AU  - Kretowski A
AU  - Nevado J
AU  - Lapunzina P
AU  - Wagner R
AU  - Tenorio-Castano J
PY  - 2026
JO  - International journal of molecular sciences
DO  - 10.3390/ijms27072966
UR  - https://doi.org/10.3390/ijms27072966
ER  -

APA

A, N., G, P., S, F. L., J, B., E, M., M, A., M, S., C, B., L, S., A, K., J, N., P, L., R, W., & J, T. (2026). Enhancing Type 1 Diabetes Polygenic Risk Prediction Through Neural Networks and Entropy-Derived Insights.. International journal of molecular sciences. https://doi.org/10.3390/ijms27072966

Source records

pubmed · retrieved 2026-09-25T08:29:31.273Z