Parkinson’s disease (PD), the second most common neurodegenerative disorder, is characterized by the progressive loss of dopaminergic neurons in the substantia nigra pars compacta, leading to motor and non-motor symptoms. The neurotoxin 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) has been extensively used in different animal species to develop chemical models of PD. This study...

MLinvitroTox is an automated Python pipeline developed for high-throughput hazard-driven prioritization of toxicologically relevant signals detected in complex environmental samples through high-resolution tandem mass spectrometry (HRMS/MS). MLinvitroTox is a machine learning (ML) framework comprising 490 independent XGBoost classifiers trained on molecular fingerprints from chemical structures and target-specific endpoints from the...

Spatial data accuracy in environmental monitoring is crucial for practical large-scale data analytics and the development of AI models. In this context, spatial data is metadata and faces the same challenges as any other metadata, like missing values, false or contradicting information, formatting problems of textual data and numbers, the...

Plastic materials are ubiquitous, leading to constant human exposure to plastic additives such as plasticizers. There is growing evidence that plasticizers may contribute to obesity due to their disruptive effects on metabolism. Alternatives like diisononylcyclohexane-1,2-dicarboxylate (DINCH) are replacing traditional phthalates such as di-(2-ethylhexyl) phthalate (DEHP), which are now banned due...