Author

Myung‐Shin Sim

University of California, Los AngelesORCID 0000-0001-9706-1499Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Immunology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:electronic health records· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Organism:non-human primate· 1

Frequent Co-Authors

Alan Hall JobeiD· 1 shared Alzbeta GodarovaiD· 1 shared Angela DeTomasoiD· 1 shared Aria FallahiD· 1 shared Arne GehlhaariD· 1 shared Claire Anne ChougnetiD· 1 shared Daniel J. ShortiD· 1 shared Eishi AsanoiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperImmunology

Alan Hall JobeORCID

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2 papers

Recent·Most cited

ImmunologybioRxivPreprintAug 4, 2026

IL1 blockade attenuates E. coli induced intrauterine inflammation and preterm labor in Rhesus macaques

Pietro Presicce, Daniel J. Short, Monica Cappelletti…·Suhas G. Kallapur

Anakinra reduced preterm labor and inflammation in a Rhesus macaque model of E. coli-induced intrauterine infection.

DOI 10.64898/2026.07.30.741586

non-human primateexperimental assay

𝕏 PostBluesky

NeuroscienceBrain CommunicationsPeer-reviewedNov 1, 2021

Refining epileptogenic high-frequency oscillations using deep learning: a reverse engineering approach

Yipeng Zhang, Qiujing Lu, Tonmoy Monsoor…·Hiroki Nariai

This paper develops a deep learning algorithm to detect and classify epileptogenic high-frequency oscillations (eHFOs) from intracranial EEG data with high accuracy.

49 citations

humanelectronic health records

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