Author

Hamish Johnson

University of AberdeenORCID 0000-0001-9102-6502Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Fergal M. WaldroniD· 1 shared Gary A. CameroniD· 1 shared Gordon D. WaiteriD· 1 shared Holly SpenceiD· 1 shared James LongdeniD· 1 shared Jenna M. GregoryiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperNeuroscience

Fergal M. WaldronORCID

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1 paper

Recent·Most cited

Machine learning identifies routine blood tests as accurate predictive measures of pollution-dependent poor cognitive function

Hamish Johnson, James Longden, Gary A. Cameron, Gordon D. Waiter, Fergal M. Waldron, Jenna M. Gregory, Holly Spence

This study uses machine learning to identify routine blood tests as predictive markers of pollution-related poor cognitive function in a cohort without neurological disease.

Scientific Reports · Jul 29, 2026Peer-reviewedNeuroscience