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Updated: Jan 23, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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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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在致命的马尔堡病毒和埃博拉病毒暴露后,在肝脏中肝细胞亡的机器学习支持量化

Yanling Liu1, Winston T Chu2, Syed Qasim Gilani2

  • 1Integrated Data Sciences Section Research Technologies Branch, Division of Intramural Research, National Institutes of Allergy and Infectious Disease, Rockville, MD, USA.

The Journal of infectious diseases
|January 22, 2026
PubMed
概括

深度学习模型量化了filovirus疾病中的肝损伤. 马尔堡病毒在 rhesus 子中比埃博拉病毒更严重地引起肝死.

关键词:
埃博拉病毒埃博拉病毒.肝脏 肝脏 肝脏 肝脏机器学习就是机器学习.马尔堡病毒病毒病理学 病理学 病理学深度学习 (deep learning) 是一种深度学习.死亡死亡的死亡.非人类灵长类的灵长类.

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