Author

Remo Eugster

University of BernORCID 0000-0001-5949-9334Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Organism:rat· 1

Frequent Co-Authors

Paola LucianiiD· 2 shared Simone AleandriiD· 2 shared Alessandra BergadanoiD· 1 shared Belinda Hämmerle· 1 shared Davide BochicchioiD· 1 shared Giorgio ButtittaiD· 1 shared Giulia RossiiD· 1 shared Jean‐Louis ReymondiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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2 shared papersPharmacology & Toxicology

Paola LucianiORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologybioRxivPreprintOct 22, 2025

Hot cue: Physiologically controlled release from an in situ forming liposomal depot

Remo Eugster, Simone Aleandri, Julia Blandine Bassila…·Paola Luciani

This paper develops a thermoresponsive liposomal depot that releases drugs in response to physiological cues, demonstrating prolonged analgesia in rats and dogs.

DOI 10.1101/2025.10.22.683980

ratmouse

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Pharmacology & ToxicologyJournal of Controlled ReleasePeer-reviewedNov 7, 2024

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

Remo Eugster, Markus Orsi, Giorgio Buttitta…·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.

90 citationstop 1%

machine learning (classical)drug response / drug discovery

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