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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

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Intra-arterial therapies are the standard of care for patients with hepatocellular carcinoma who cannot undergo surgical resection. A method for predicting response to these therapies is proposed. The technique uses pre-procedural clinical, demographic, and imaging information to train machine learning models capable of predicting response prior to...

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Related Experiment Video

Updated: Jan 20, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

Re-Engineering Resilience: Predictive Pheno-Metabolomics and Machine Learning for Climate-Adaptive Crop Breeding

Gayatri Mishra¹

¹Institute of Biological Chemistry, The Washington State University, Pullman, Washington, USA.

Plant, Cell & Environment

|January 19, 2026

Summary

No abstract available in PubMed .

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