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Potential threat of microplastics to humans: toxicity prediction modeling by small data analysis

Environmental Science Nano 2023 11 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Daheui Choi, Chul Kim, Taihyun Kim, Kyungtae Park, Jongho Im, Jinkee Hong

Summary

Researchers developed a toxicity prediction model for microplastics using small data analysis techniques, enabling the anticipation of varying toxic effects depending on microplastic types and compositions found in nature.

Microplastics present in nature have various toxicities depending on the types or ratio, and these effects can be anticipated through a microplastic toxicity prediction model.

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