Author

Nicola Serafini

University of Urbino

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Pharmacology & Toxicology· 1

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Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Giorgio ButtittaiD· 1 shared Jean‐Louis ReymondiD· 1 shared Luca CasettariiD· 1 shared Markus OrsiiD· 1 shared Mattia TiboniiD· 1 shared Paola LucianiiD· 1 shared Remo EugsteriD· 1 shared Simone AleandriiD· 1 shared

Activity by Year

2024-2024 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPharmacology & Toxicology

Giorgio ButtittaORCID

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1 paper

Recent·Most cited

Leveraging machine learning to streamline the development of liposomal drug delivery systems

Remo Eugster, Markus Orsi, Giorgio Buttitta, Nicola Serafini, Mattia Tiboni, Luca Casettari, Jean‐Louis Reymond, Simone Aleandri, Paola Luciani

This paper uses machine learning to predict critical quality attributes and process parameters for microfluidic liposome production, improving understanding of lipid behavior and streamlining drug delivery system development.

Journal of Controlled Release · Nov 7, 2024Peer-reviewedPharmacology & Toxicology