CORDIS Project
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This project aims to assess the risks of micro- and nanoplastics to human gastrointestinal health using machine learning and spectral imaging techniques. It seeks to develop predictive models for toxicity based on the properties of these materials.
The project aims to advance our understanding of potential risks posed by micro- and nanoplastics (MNPs) to human gastrointestinal health through a combination of quantitative, experimental, and computational approaches, leveraging powerful machine learning (ML) algorithms and versatile spectral imaging techniques.
Towards this goal, the project will first deliver a framework to extensively characterise MNPs using multiple spectral imaging techniques covering from micro- to nanoscale coupled wit…
UNIVERSITY COLLEGE DUBLIN, NATIONAL UNIVERSITY OF IRELAND, DUBLIN
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