Converting nanotoxicity data to information using artificial intelligence and simulation

X Yan, T Yue, DA Winkler, Y Yin, H Zhu… - Chemical …, 2023 - ACS Publications
Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

Towards reproducible computational drug discovery

N Schaduangrat, S Lampa, S Simeon… - Journal of …, 2020 - Springer
The reproducibility of experiments has been a long standing impediment for further scientific
progress. Computational methods have been instrumental in drug discovery efforts owing to …

A sustainability maturity model for micro, small and medium-sized enterprises (MSMEs) based on a data analytics evaluation approach

J Vásquez, S Aguirre, E Puertas, G Bruno… - Journal of Cleaner …, 2021 - Elsevier
A maturity model for micro, small and medium enterprises (MSMEs) is introduced to assess
the level of implementation of sustainability strategies and practices in this type of business …

A novel anoikis-related prognostic signature associated with prognosis and immune infiltration landscape in clear cell renal cell carcinoma

Z Chen, X Liu, Z Zhu, J Chen, C Wang, X Chen… - Frontiers in …, 2022 - frontiersin.org
Background: Clear cell renal cell carcinoma (ccRCC) is the most common histological
subtype of renal cell carcinoma (RCC). Anoikis plays an essential function in …

[HTML][HTML] NanoSolveIT Project: Driving nanoinformatics research to develop innovative and integrated tools for in silico nanosafety assessment

A Afantitis, G Melagraki, P Isigonis, A Tsoumanis… - Computational and …, 2020 - Elsevier
Nanotechnology has enabled the discovery of a multitude of novel materials exhibiting
unique physicochemical (PChem) properties compared to their bulk analogues. These …

Practices and trends of machine learning application in nanotoxicology

I Furxhi, F Murphy, M Mullins, A Arvanitis, CA Poland - Nanomaterials, 2020 - mdpi.com
Machine Learning (ML) techniques have been applied in the field of nanotoxicology with
very encouraging results. Adverse effects of nanoforms are affected by multiple features …

Rapid soil fertility prediction using X-ray fluorescence data and machine learning algorithms

L Benedet, SF Acuña-Guzman, WM Faria, SHG Silva… - Catena, 2021 - Elsevier
Conventional soil fertility analyses are laborious, costly, time-consuming, and produce
hazardous waste. The high demand of these laboratory-based analyses prompted us to …

Nanotoxicology data for in silico tools: a literature review

I Furxhi, F Murphy, M Mullins, A Arvanitis… - Nanotoxicology, 2020 - Taylor & Francis
The exercise of non-testing approaches in nanoparticles (NPs) hazard assessment is
necessary for the risk assessment, considering cost and time efficiency, to identify, assess …

Toward rigorous materials production: New approach methodologies have extensive potential to improve current safety assessment practices

P Nymark, M Bakker, S Dekkers, R Franken… - Small, 2020 - Wiley Online Library
Advanced material development, including at the nanoscale, comprises costly and complex
challenges coupled to ensuring human and environmental safety. Governmental agencies …

Multifaceted immune dysregulation characterizes individuals at-risk for rheumatoid arthritis

EA James, VM Holers, R Iyer, EB Prideaux… - Nature …, 2023 - nature.com
Molecular markers of autoimmunity, such as antibodies to citrullinated protein antigens
(ACPA), are detectable prior to inflammatory arthritis (IA) in rheumatoid arthritis (RA) and …