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Updated: Sep 9, 2025

Slicing and Culturing Pig Hearts under Physiological Conditions
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心臓毒性評価におけるマルチタスク学習の専門家の組み合わせ

Edoardo Luca Viganò1, Mateusz Iwan2, Erika Colombo2

  • 1Laboratory of Environmental Toxicology and Chemistry, Department of Environmental Health Sciences, Instituto Di Ricerche Farmacologiche Mario Negri IRCSS, 20156, Milan, Italy. edoardo.vigano@marionegri.it.

Journal of cheminformatics
|August 29, 2025
PubMed
まとめ

人工知能 (AI) と機械学習 (ML) は化学心毒性を予測することで毒理学を進める. マルチタスクニューラルネットワークモデルは 心臓の潜在的なリスクを特定する上で高い精度を示し,より安全な化学品の評価をサポートしています.

キーワード:
人工知能心臓毒性機械学習専門家の混合マルチタスクニューラルネットワークQSAR について

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