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Cited by in F6Publishing

For:	Rebollo R, Oyoun F, Corvis Y, El-Hammadi MM, Saubamea B, Andrieux K, Mignet N, Alhareth K. Microfluidic Manufacturing of Liposomes: Development and Optimization by Design of Experiment and Machine Learning. ACS Appl Mater Interfaces 2022. [PMID: 36001743 DOI: 10.1021/acsami.2c06627] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Rebollo R, Oyoun F, Corvis Y, El-Hammadi MM, Saubamea B, Andrieux K, Mignet N, Alhareth K. Microfluidic Manufacturing of Liposomes: Development and Optimization by Design of Experiment and Machine Learning. ACS Appl Mater Interfaces 2022. [PMID: 36001743 DOI: 10.1021/acsami.2c06627] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Zaslavsky J, Bannigan P, Allen C. Re-envisioning the design of nanomedicines: harnessing automation and artificial intelligence. Expert Opin Drug Deliv 2023;20:241-57. [PMID: 36644850 DOI: 10.1080/17425247.2023.2167978] [Reference Citation Analysis]
2	Jia Y, Agbayani G, Chandan V, Iqbal U, Dudani R, Qian H, Jakubek Z, Chan K, Harrison B, Deschatelets L, Akache B, Mccluskie MJ. Evaluation of Adjuvant Activity and Bio-Distribution of Archaeosomes Prepared Using Microfluidic Technology. Pharmaceutics 2022;14:2291. [DOI: 10.3390/pharmaceutics14112291] [Reference Citation Analysis]