Xu Lab

Research focus

ERC Starting Grant · 2024

Machine Learning Combined with Spectral Imaging for Inferring the Toxicity of Micro- and Nanoplastics

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 with complementary instruments. The fused characterisation data will be combined with experimental in vitro bioassays to develop ML models, enabling the prediction of toxicity patterns and unveiling key…

From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.