Author

J. Kozloski

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· 2 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Assay:electrophysiology· 1 Organism:mouse· 1

Frequent Co-Authors

J. Parikh· 3 shared P. Di Achille· 2 shared V. Gurev· 2 shared O. Solovyova· 1 shared S. Khamzin· 1 shared S. L. Allam· 1 shared T. H. Rumbell· 1 shared T. Hoang-Trong· 1 shared

Activity by Year

2019-2020 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 16 mutual co-author links

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3 shared papersPharmacology & Toxicology

J. Parikh

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Author profile →

3 papers

Recent·Most cited

Neuronal Population Models Reveal Specific Linear Conductance Controllers Sufficient to Rescue Preclinical Disease Phenotypes

S. L. Allam, T. H. Rumbell, T. Hoang-Trong, J. Parikh, J. Kozloski

The paper develops virtual drugs using population-based modeling and evolutionary algorithms to recover healthy electrophysiological phenotypes in Huntington’s disease neurons.

bioRxiv · Jun 1, 2020Pharmacology & Toxicology

Model order reduction for left ventricular mechanics via congruency training

P. Di Achille, J. Parikh, S. Khamzin, O. Solovyova, J. Kozloski, V. Gurev

This paper introduces a model order reduction strategy for 3-D finite element models of ventricular mechanics using congruency training and linear transformations to improve computational efficiency.

bioRxiv · Jul 10, 2019Biophysics

Intrinsic structure of model-derived metrics for in silico proarrhytmic risk assessment identified by global sensitivity analysis

J. Parikh, P. Di Achille, J. Kozloski, V. Gurev

This paper uses global sensitivity analysis to evaluate model-derived metrics for predicting drug-induced TdP risk, finding that these metrics are not strongly correlated with EAD generation and can be explained by direct features.

bioRxiv · Apr 16, 2019 · PreprintPharmacology & Toxicology