Author

Gregory Falkovich

Weizmann Institute of ScienceORCID 0000-0002-0570-7895Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:statistical model· 1

Frequent Co-Authors

Martin AldaiD· 2 shared Shani SterniD· 2 shared Utkarsh TripathiiD· 2 shared Abraham NunesiD· 1 shared Ashwani ChoudharyiD· 1 shared Idan Rosh· 1 shared Jose Djamus Birch· 1 shared Liron MizrahiiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersNeuroscience

Martin AldaORCID

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2 papers

Recent·Most cited

NeurosciencebioRxivPreprintAug 28, 2025

Divergent Excitability of GABAergic Neurons Derived from Bipolar Disorder Patients Shapes Energy Shifts of Network Dynamics, possibly mimicking mania and depression

Ashwani Choudhary, Omveer Sharma, Ran Ben Ezer…·Shani Stern

This study compares lithium-responsive and non-responsive bipolar disorder patients' GABAergic neurons, showing divergent excitability that drives network state shifts, potentially linked to mood episodes.

DOI 10.1101/2025.08.28.672780

humanelectronic health records

𝕏 PostBluesky

NeurosciencebioRxivPreprintApr 4, 2022

Information theory characteristics improve the prediction of lithium response in bipolar disorder patients using an SVM classifier

Utkarsh Tripathi, Liron Mizrahi, Martin Alda…·Shani Stern

The paper uses information theory features to improve SVM classification of lithium response in bipolar disorder patients, achieving 99% accuracy in distinguishing responders from non-responders.

1 citation

humanelectronic health records

𝕏 PostBluesky