Author

Thomas Rowlands

University of NottinghamORCID 0000-0002-7912-4203Unclaimed 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· 3 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Joram Matthias PosmaiD· 3 shared Tim BeckiD· 3 shared Antoine D. LainiD· 2 shared Donghee ChoiiD· 2 shared Marek ReiiD· 2 shared Yajie GuiD· 2 shared A M Saif Mahmud· 1 shared Adrian D Alessandro· 1 shared

Activity by Year

2022-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersBioinformatics

Joram Matthias PosmaORCID

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Author profile →

3 papers

Recent·Most cited

Relation Extraction for Diet, Non-Communicable Disease and Biomarker Associations (RECoDe): A CoDiet study

Donghee Choi, Yajie Gu, Kai Qi Zong, Antoine Lain, Dimitrios Zaikis, Thomas Rowlands, Marek Rei, Antoine D. Lain, Tim Beck, Joram Matthias Posma

The paper introduces RECoDe, a relation extraction dataset for diet, disease, and biomarker associations, and benchmarks NLP models on it, achieving high classification performance.

Bioinformatics · Jun 23, 2026Peer-reviewedBioinformatics

Biomedical text corpora for multi-entity recognition in diet-related metabolic syndrome research

Antoine D. Lain, Stephanie Go, A M Saif Mahmud, Shruti Rajendra, Ainara Cano, Katerina Loupasaki, Georgios A. Theodoridis, Maider Bizkarguenaga, Yajie Gu, Olga Deda, Ricardo Conde, Nieves Embade, Angela de Diego Rodriguez, Nerea Burguera, Danai Rossiou, , Joram Matthias Posma

The paper introduces five biomedical corpora for multi-entity recognition in metabolic syndrome research, including human-annotated and machine-annotated datasets with diverse entity categories.

bioRxiv · Sep 4, 2025 · PreprintBioinformatics

Auto-CORPus: A Natural Language Processing Tool for Standardising and Reusing Biomedical Literature

Tim Beck, Tom Shorter, Hu, S, Zhuoyu Li, Shujian Sun, Casiana M. Popovici, McQuibban, NAR, Filip Makraduli, Cheng S. Yeung, Thomas Rowlands, Joram Matthias Posma

Auto-CORPus converts biomedical publication HTML and tables to standardized formats for text analytics.

Frontiers in Digital Health · Feb 15, 2022Peer-reviewedBioinformatics