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Article
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AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button.
Tier 2
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Original research — experimental, observational, or case-control study. Direct primary evidence.
Human Health Effects
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Potential threat of microplastics to humans: toxicity prediction modeling by small data analysis
Environmental Science Nano
2023
11 citations
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Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count.
Score: 50
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0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Daheui Choi,
Daheui Choi,
Daheui Choi,
Daheui Choi,
Daheui Choi,
Daheui Choi,
Daheui Choi,
Kyungtae Park,
Chul Kim,
Kyungtae Park,
Taihyun Kim,
Kyungtae Park,
Kyungtae Park,
Daheui Choi,
Daheui Choi,
Daheui Choi,
Jinkee Hong
Kyungtae Park,
Kyungtae Park,
Kyungtae Park,
Jinkee Hong
Jongho Im,
Jinkee Hong
Jinkee Hong
Jinkee Hong
Taihyun Kim,
Jinkee Hong
Jinkee Hong
Jinkee Hong
Jinkee Hong
Jinkee Hong
Jinkee Hong
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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