How machine learning and AI can help toxicology

A presentation given by our COST Action, ICPLASTIC's Working Group Leader 3, Dr Roberto Alamino gave to a group of people explaining the impact and potential of machine learning and AI in determining the toxicological impact of microplastics on human and the ecosystem.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-15
DOI
https://doi.org/10.5281/zenodo.15691578
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.00
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article

How machine learning and AI can help toxicology

Zenodo (CERN European Organization for Nuclear Research)
Microplastics and Plastic Pollution
article

How machine learning and AI can help toxicology

article en

Abstract

A presentation given by our COST Action, ICPLASTIC's Working Group Leader 3, Dr Roberto Alamino gave to a group of people explaining the impact and potential of machine learning and AI in determining the toxicological impact of microplastics on human and the ecosystem.

Zenodo (CERN European Organization for Nuclear Research)
Aston University (GB)
Openalex Percentile: Top 65%
Microplastics and Plastic Pollution
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How machine learning and AI can help toxicology · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS