Author

G. Ilia

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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Microbiology· 3

Signature Assays, Organisms & Methods

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Research Focus:host-pathogen & immune response· 2 Approach:machine learning (classical)· 2 Organism:mouse· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:clinical cohort / trial· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

J. Allan· 3 shared M. Palmarini· 3 shared V. Herder· 3 shared W. Furnon· 3 shared A. D. S. Filipe· 2 shared D. C. Mendonca· 2 shared K. Kerr· 2 shared K. Nomikou· 2 shared

Activity by Year

2023-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersMicrobiology

J. Allan

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

A Machine Learning Framework to Identify the Correlates of Disease Severity in Acute Arbovirus Infection

V. Herder, M. Caporale, O. MacLean, D. Pintus, X. Huang, K. Nomikou, N. Palmalux, J. Nichols, R. Scivoli, C. Boutell, A. Taggart, J. Allan, H. Malik, G. Ilia, Q. Gu, , M. Palmarini

This study uses machine learning to identify key viral and host processes associated with varying severity in bluetongue virus infection in sheep.

bioRxiv · Feb 23, 2024 · PreprintMicrobiology

The SARS-CoV-2 Omicron sub-variant BA.2.86 is attenuated in hamsters

V. Herder, D. C. Mendonca, N. Upfold, W. Furnon, K. Kerr, G. Ilia, J. Allan, A. Sigal, A. H. Patel, M. Palmarini

The paper assesses the virulence of the SARS-CoV-2 BA.2.86 variant in hamsters and finds it is attenuated compared to BA.2.75.

bioRxiv · Nov 10, 2023 · PreprintMicrobiology

Phenotyping the virulence of SARS-CoV-2 variants in hamsters by digital pathology and machine learning

G. R. Meehan, V. Herder, J. Allan, X. Huang, K. Kerr, D. C. Mendonca, G. Ilia, D. Wright, K. Nomikou, Q. Gu, S. M. Arias, G. De Lorenzo, V. Cowton, N. Upfold, N. Palmalux, , M. Palmarini

This study develops quantitative pipelines using digital pathology and machine learning to assess the virulence of SARS-CoV-2 variants in hamsters, showing that some Omicron sub-lineages have regained virulence.

bioRxiv · Aug 1, 2023Microbiology