関連する実験動画

Updated: Sep 8, 2025

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods
05:34

Applying Cheminformatics to Develop a Structure Searchable Database of Analytical Methods

Published on: June 6, 2025

564

化学品の重要な危険性を予測するための解釈可能な機械学習

Kunsen Lin1, Boyang Liao1, Xiaochuan Chen1

  • 1College of Environmental and Resource Sciences, Fujian Key Laboratory of Pollution Control & Resource Reuse, Fujian College and University Engineering Research Center for Municipal Waste Resourceization and Management, Fujian Normal University, Fuzhou, Fujian 350117, China.

Waste management (New York, N.Y.)
|September 5, 2025
PubMed
まとめ

機械学習モデルは 毒性や易燃性などの 化学物質の危険性を正確に予測し 安全性を向上させます これらのモデルは効率的でスケーラブルな予測を提供し,危険な化学物質の管理のための実験的試験を削減します.

キーワード:
炎症性機械学習水と反応した反応性毒性について

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