Author

Georgios A. Theodoridis

Aristotle University of ThessalonikiORCID 0000-0002-2015-108XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

A M Saif Mahmud· 1 shared Adrian D Alessandro· 1 shared Ainara CanoiD· 1 shared Alma VillaseñoriD· 1 shared Ana GradillasiD· 1 shared Angela de Diego Rodriguez· 1 shared Antoine D. LainiD· 1 shared Carolina González-RiañoiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioinformatics

A M Saif Mahmud

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2 papers

Recent·Most cited

A lipidomic exploration of the effects of high-intensity interval exercise in healthy men after metformin intake

René Neuhaus, Thomas Meikopoulos, Ana Gradillas, Carolina González-Riaño, Georgios A. Theodoridis, Stefanos Nikolaidis, Vassilis Mougios, Coral Barbas, Helen Gika, Alma Villaseñor

This study examines how high-intensity interval exercise affects plasma lipidomic profiles in healthy men taking metformin, finding persistent lipid changes up to 4 hours post-exercise.

Journal of Proteome Research · Sep 30, 2025Peer-reviewedSystems Biology

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