Author

K. Hemmer

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Pharmacology & Toxicology· 1

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:organoid / primary culture· 1

Frequent Co-Authors

A. S. Monzel· 1 shared A. Zagare· 1 shared F. Azuaje· 1 shared I. Rosety· 1 shared J. C. Schwamborn· 1 shared P. Antony· 1 shared P. Lucarelli· 1 shared R. Krueger· 1 shared

Activity by Year

2019-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperPharmacology & Toxicology

A. S. Monzel

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1 paper

Recent·Most cited

Machine learning-assisted neurotoxicity prediction in human midbrain organoids

A. S. Monzel, K. Hemmer, T. Kaoma Mukendi, P. Lucarelli, I. Rosety, A. Zagare, S. Bolognin, P. Antony, S. L. Nickels, R. Krueger, F. Azuaje, J. C. Schwamborn

The paper develops a midbrain organoid system to model Parkinson's disease and introduces a machine learning pipeline for neurotoxicity prediction using high-content imaging data.

bioRxiv · Sep 19, 2019Pharmacology & Toxicology