Author

I. Lynch

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#explainable ai Open access Sep 2026

From QSAR to deep learning: an interpretable comprehensive pipeline with a read-across approach for mutagenicity prediction via the Enalos Cloud Platform

In silico NAMs, including computational approaches, can contribute to the development of novel Safe and Sustainable by Design chemicals and substances by identifying potentially hazardous ones at an early stage by identifying potentially hazardous ones at an early stage.

Dimitra-Danai Varsou, A. Tsoumanis, E. Longhin et al. · RSC Advances · 0 citations

Review Open access Jul 2026

Developing a FAIR data policy for chemical risk assessment and exploring future topics and stakeholder interests with large language models and data sciences

The PFDP is designed to support data driven RA improvement within PARC but can equally contribute to FAIR data in other environmental RA research and regulatory communities.

R. Stierum, Gino Kalkman, S. Bijlsma et al. · Environmental Sciences Europ... · 0 citations

Open access Aug 2026

Ferroptosis-like cell death associated with Vibrio parahaemolyticus infection in the clam Meretrix petechialis.

A Vibrio infection model, Ferrostatin-1 intervention and mTOR-GPX4-related analysis are integrated to provide a multi-level evidence framework for ferroptosis-like responses during V. parahaemolyticus infection in M. petechialis, offering new insights into pathogen-induced cell death mechanisms in marine bivalves.

Shujing Zhang, Fengxia Xu, Meng-Yao Gao et al. · Fish and Shellfish Immunolog... · 0 citations