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Updated: Jan 18, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Aprendizaje autosupervisado para predecir clases transcriptómicas de colangiocarcinoma intrahepático a partir de

Aurélie Beaufrère1,2,3, Tristan Lazard3, Rémy Nicolle2

  • 1AP-HP.Nord, Department of Pathology, FHU MOSAIC, DMU DREAM, Beaujon Hospital, Clichy, France.

JHEP reports : innovation in hepatology
|January 16, 2026
PubMed
Resumen

Un nuevo modelo de aprendizaje autosupervisado predice las clases transcriptómicas del colangiocarcinoma intrahepático (iCCA) a partir de portaobjetos de histología. Este enfoque supera las limitaciones del análisis molecular, ayudando a la implementación clínica y al tratamiento personalizado para pacientes con iCCA.

Palabras clave:
Clases transcriptómicasportaobjetos histológicocolangiocarcinoma intrahepáticoaprendizaje autosupervisado

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