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For: Ahmad F, Mahmood A, Muhmood T. Machine learning-integrated omics for the risk and safety assessment of nanomaterials. Biomater Sci 2021;9:1598-608. [PMID: 33443512 DOI: 10.1039/d0bm01672a] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
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1 Bartolucci C, Scognamiglio V, Antonacci A, Fraceto LF. What makes nanotechnologies applied to agriculture green? Nano Today 2022;43:101389. [DOI: 10.1016/j.nantod.2022.101389] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
2 Karakus CO, Winkler DA. Overcoming roadblocks in computational roadmaps to the future for safe nanotechnology. Nano Futures 2021;5:022002. [DOI: 10.1088/2399-1984/abe560] [Reference Citation Analysis]
3 Mahmood A, Irfan A, Wang JL. Developing Efficient Small Molecule Acceptors with sp2 -Hybridized Nitrogen at Different Positions by Density Functional Theory Calculations, Molecular Dynamics Simulations and Machine Learning. Chemistry 2021. [PMID: 34767281 DOI: 10.1002/chem.202103712] [Reference Citation Analysis]
4 Kołecka K, Gajewska M, Caban M. From the pills to environment - Prediction and tracking of non-steroidal anti-inflammatory drug concentrations in wastewater. Sci Total Environ 2022;825:153611. [PMID: 35151749 DOI: 10.1016/j.scitotenv.2022.153611] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Da Silva GH, Franqui LS, Petry R, Maia MT, Fonseca LC, Fazzio A, Alves OL, Martinez DST. Recent Advances in Immunosafety and Nanoinformatics of Two-Dimensional Materials Applied to Nano-imaging. Front Immunol 2021;12:689519. [PMID: 34149731 DOI: 10.3389/fimmu.2021.689519] [Reference Citation Analysis]
6 Janjua MRSA, Irfan A, Hussien M, Ali M, Saqib M, Sulaman M. Machine‐Learning Analysis of Small‐Molecule Donors for Fullerene Based Organic Solar Cells. Energy Tech. [DOI: 10.1002/ente.202200019] [Reference Citation Analysis]
7 Hanson MC, Petch GM, Ottosen TB, Skjøth CA. Climate change impact on fungi in the atmospheric microbiome. Sci Total Environ 2022;830:154491. [PMID: 35283127 DOI: 10.1016/j.scitotenv.2022.154491] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]