Author

David Allan Moore

University College HospitalORCID 0000-0002-6296-1312Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Approach:deep learning· 2 Organism:human· 2 Assay:imaging· 2

Frequent Co-Authors

Adalberto Claudio QuirosiD· 2 shared Ana TeodòsioiD· 2 shared Catherine FickeniD· 2 shared Claire WilsoniD· 2 shared Fiona BallantyneiD· 2 shared Ian R. PowleyiD· 2 shared John P. C. Le QuesneiD· 2 shared Kai RakoviciD· 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 papersCancer Biology

Adalberto Claudio QuirosORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintNov 12, 2025

Self-supervised AI reveals a lethal discohesive phenotype in lung adenocarcinoma

Kai Rakovic, Alexandrina Pancheva, Adalberto Claudio Quiros…·John P. C. Le Quesne

This paper uses self-supervised AI to identify under-appreciated stromal morphologies in lung adenocarcinoma linked to poor prognosis, independent of current clinical schemas.

DOI 10.1101/2025.11.12.688049

𝕏 PostBluesky

PathologyNature CommunicationsPeer-reviewedOct 7, 2025

A histomorphological atlas of resected mesothelioma discovered by self-supervised learning from 3446 whole-slide images

Farzaneh Seyedshahi, Kai Rakovic, Nicolas Poulain…·John P. C. Le Quesne

This paper uses self-supervised learning on 3446 H&E-stained mesothelioma slides to create a histomorphological atlas, achieving high predictive performance and revealing molecular insights.

2 citations

𝕏 PostBluesky