Author

Gustavo Prack

ETH Zurich

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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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Andreas R. HierlemanniD· 2 shared Fiscella Michele· 2 shared Manuel S. SchröteriD· 2 shared Silvia RonchiiD· 2 shared Alessio Paolo BuccinoiD· 1 shared Christian DonneriD· 1 shared Damian RoqueiroiD· 1 shared Karsten Michael BorgwardtiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 40 mutual co-author links

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2 shared papersNeuroscience

Andreas R. HierlemannORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintMar 31, 2022

Downregulating α-synuclein in iPSC-derived dopaminergic neurons mimics electrophysiological phenotype of the A53T mutation

Philipp Hornauer, Gustavo Prack, Nadia Anastasi…·Manuel S. Schröter

The paper introduces DeePhys, a tool for functional phenotyping of neurons using electrophysiological data, and shows it can predict genotype and age in iPSC-derived DA neurons with the A53T SNCA mutation.

4 citations

humanelectronic health records

𝕏 PostBluesky

NeuroscienceAdvanced BiologyPeer-reviewedJan 14, 2021

Electrophysiological Phenotype Characterization of Human iPSC-Derived Neuronal Cell Lines by Means of High-Density Microelectrode Arrays

Silvia Ronchi, Alessio Paolo Buccino, Gustavo Prack…·Andreas R. Hierlemann

This study uses HD-MEAs to characterize electrophysiological phenotypes of iPSC-derived neurons and assess drug effects in Parkinson's and ALS models.

61 citationstop 4%

humanelectronic health records

𝕏 PostBluesky