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Updated: Feb 14, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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TropMol:機械学習によるアセチルコリネステラゼ阻害剤の仮想スクリーニングと早期予測のためのクラウドベースのウェブツール

Thiago H Doring1

  • 1Department of Exact Sciences and Education (CEE), School of Technology, Exact Sciences and Education (CTE), Federal University of Santa Catarina (UFSC), Blumenau 89036-256, SC, Brazil. thiago.doring@ufsc.br.

Organic & biomolecular chemistry
|February 13, 2026
PubMed
まとめ

この研究では,アルツハイマー病 (AD) 治療のためのアセチルコリネステラゼ (AChE) 阻害剤を特定するための予測モデルを開発しました. ランダムフォレストモデルは,化合物の有効性を正確に予測し,薬剤発見の努力を助けます.

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