Toward Explainable Carcinogenicity Prediction: An Integrated Cheminformatics Approach and Consensus Framework for

Huynh Anh Duy1,2, Tarapong Srisongkram3

  • 1Graduate School in the Program of Research and Development in Pharmaceuticals, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.

Summary

A consensus machine learning framework accurately predicts chemical carcinogenicity (IARC class 2B). This tool aids in identifying potential carcinogens, improving chemical safety assessments.

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