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Updated: Feb 13, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Published on: October 10, 2018

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ヒトメタボロームと機械学習による死後経過時間推定精度の向上

Rasmus Magnusson1, Carl Söderberg2, Liam J Ward2,3

  • 1Department of Biomedical Engineering, Linköping University, Linköping, Sweden. rasmus.magnusson@liu.se.

Nature communications
|February 11, 2026
PubMed
まとめ

法医学者は、血液サンプルから得られたメタボロームデータを使用して、死亡からの経過時間を正確に予測できるようになりました。この新しい方法は、死後経過時間の推定における既存の技術を改善するものです。

キーワード:
死後経過時間メタボローム機械学習法医学血液サンプルニューラルネットワーク予測モデル

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