From principles to reality. FAIR implementation in the nanosafety community

VI Dumit, A Ammar, MI Bakker, MA Bañares, C Bossa… - Nano Today, 2023 - Elsevier
Developing safe and sustainable nanomaterials-based solutions to current global
challenges including clean energy, sustainable food production and water security requires …

[HTML][HTML] Making in silico predictive models for toxicology FAIR

MTD Cronin, SJ Belfield, KA Briggs, SJ Enoch… - Regulatory Toxicology …, 2023 - Elsevier
In silico predictive models for toxicology include quantitative structure-activity relationship
(QSAR) and physiologically based kinetic (PBK) approaches to predict physico-chemical …

The role of FAIR nanosafety data and nanoinformatics in achieving the UN Sustainable Development Goals: the NanoCommons experience

BA Serrano, LC Gheorghe, TE Exner, S Resch… - RSC …, 2024 - pubs.rsc.org
The increasing focus on open and FAIR (Findable, Accessible, Interoperable and Re-
useable) data is driving a step-change in how research communities and governments think …

Comprehensive mapping of the AOP-Wiki database: identifying biological and disease gaps

T Jaylet, T Coustillet, NM Smith, B Viviani… - Frontiers in …, 2024 - frontiersin.org
Introduction: The Adverse Outcome Pathway (AOP) concept facilitates rapid hazard
assessment for human health risks. AOPs are constantly evolving, their number is growing …

Increasing the Confidence of In Silico Modelling in Toxicology

S Belfield - 2024 - researchonline.ljmu.ac.uk
Consideration of all chemicals that we are exposed to on a daily basis is a daunting task,
which has been traditionally assessed through animal testing procedures. However, the …

[PDF][PDF] RSC Sustainability

I Lynch - 2024 - scholar.archive.org
Despite the strong policy push towards safe and sustainable by design materials and the
race to net zero, research communities are not always aware of the potential for their …