Author

Julie Pryor

The University of SydneyORCID 0000-0003-4907-8530Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Organism:human· 2 Assay:metagenomics· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Diane McDougaldiD· 2 shared Dominic Leo· 2 shared Gerard Weber· 2 shared Gustavo Espinoza-VergaraiD· 2 shared Iain G. DugginiD· 2 shared Joyce ToiD· 2 shared M. Mozammel HoqueiD· 2 shared Parisa NoorianiD· 2 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersMicrobiology

Diane McDougaldORCID

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2 papers

Recent·Most cited

MicrobiologyMicrobiomePeer-reviewedNov 27, 2025

Prediction of symptomatic and asymptomatic bacteriuria in spinal cord injury patients using machine learning

M. Mozammel Hoque, Parisa Noorian, Gustavo Espinoza-Vergara…·Diane McDougald

This paper develops a machine learning framework to predict symptomatic and asymptomatic bacteriuria in spinal cord injury patients using microbiome data, achieving high accuracy in classification.

5 citations

humanmetagenomics

𝕏 PostBluesky

MicrobiologyBiofilmPeer-reviewedNov 24, 2025

A model, mixed-species urinary catheter biofilm derived from spinal cord injury patients

Parisa Noorian, Kailey Hamann, M. Mozammel Hoque…·Diane McDougald

This study develops a mixed-species urinary catheter biofilm model from spinal cord injury patients to better understand and treat catheter-associated infections.

3 citations

humanmetagenomics

𝕏 PostBluesky