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Updated: Feb 26, 2026

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Predicción de la vulnerabilidad de la placa mediante datos de imágenes de resonancia magnética de alta resolución de

Yan Gong1,2, Menglin Wu3, Xiang Zhang2

  • 1Department of Radiology, Medical Imaging Institute of Tianjin, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin 300192, China.

ACS nano
|February 24, 2026
PubMed
Resumen

Una nueva tecnología de aprendizaje automático asistido por nanoagentes (nano-AML) predice con precisión la vulnerabilidad de la placa aterosclerótica. Este enfoque, que utiliza imágenes de RM moleculares de alta resolución de la pared del vaso, ofrece un método fiable para evaluar el riesgo de la placa.

Palabras clave:
vulnerabilidad de la placa ateroscleróticananoagentes dirigidos a macrófagos espumososimágenes de alta resolución de la pared del vasoaprendizaje automáticoimagen molecularradiónica

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