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Updated: Jan 13, 2026

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Enfoques de aprendizaje profundo multimodal para mejorar las puntuaciones de riesgo poligénico con datos de imagen

Hyeongmu Kim1, Geon Lee1, Wonil Chung2,3

  • 1Department of Statistics and Actuarial Science, Soongsil University, Seoul, 06978, Korea.

Scientific reports
|January 6, 2026
PubMed
Resumen

La integración de puntuaciones de imagen de aprendizaje profundo con datos genéticos y clínicos mejora significativamente la precisión de la predicción del glaucoma. Las puntuaciones de aprendizaje profundo derivadas de imágenes (IDS) muestran un fuerte poder predictivo y las puntuaciones genéticas pueden sustituir a los datos de imagen cuando no están disponibles.

Palabras clave:
aprendizaje profundopredicción de glaucomapuntuaciones de aprendizaje profundo derivadas de imágenesfenotipos derivados de imágenesenfoque multimodalpuntuación de riesgo poligénico (PRS)

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