Investigating nanotoxicity: uncovering associations and predictive factors through machine learning analysis of published literature

Monrudee Liangruksa, Phurinat Udomsopagit, Khattaman Sriratanophast, Phawat Charoenwong, Purin Kanjanakumnerd, Teeraphan Laomettachit, Surat Teerapittayanon · Environmental Science Nano · 2025

The study applies machine learning, including supervised learning and association rule mining, to analyze nanotoxicity data. It reveals key associations and predictive factors, supporting safer nanomaterial design and risk assessment.

Read the paper · More papers on PaperTik