Author

Dragan Primorac

Specijalna bolnica Sv. KatarinaORCID 0000-0001-5565-080XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genetic & Genomic Medicine· 3

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:differential expression· 2 Assay:proteomics· 2 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Gordan LauciD· 2 shared Luka BulićiD· 2 shared Petar BrlekiD· 2 shared Anna G. SoplenkovaiD· 1 shared Anna N. TimoshchukiD· 1 shared Arina V. NostaevaiD· 1 shared Clemens WittenbecheriD· 1 shared Denis E. MasloviD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 31 mutual co-author links

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2 shared papersGenetic & Genomic Medicine

Gordan LaucORCID

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3 papers

Recent·Most cited

Micro-fragmented adipose tissue reprogrammes the systemic molecular landscape of inflammatory knee osteoarthritis

Dragan Primorac, Vilim Molnar, Petar Brlek, Luka Bulić, Željko Jeleč, Uršula Prosenc Zmrzljak, Thomas Klarić, Gordan Lauc, Noël Malod‐Dognin, Nataša Pržulj

This study uses AI to analyze blood molecular changes after MFAT or HA treatment in knee OA, showing MFAT alters systemic pathways more than HA.

medRxiv · Jun 24, 2026 · PreprintGenetic & Genomic Medicine

A genome-wide association study in 10,000 individuals links plasma N-glycome to liver disease and anti-inflammatory proteins

Sodbo Sharapov, Anna N. Timoshchuk, Olga O. Zaytseva, Denis E. Maslov, Anna G. Soplenkova, Elizaveta E. Elgaeva, Evgeny Tiys, Massimo Mangino, Clemens Wittenbecher, Lennart C. Karssen, Maria N Timofeeva, Arina V. Nostaeva, Frano Vučković, Irena Trbojević‐Akmačić, Tamara Štambuk, , Yurii S. Aulchenko

This study identifies 16 new genetic loci associated with plasma N-glycosylation in 10,000 individuals and links them to liver disease and inflammatory proteins.

Nature Communications · Jul 1, 2025Peer-reviewedGenetic & Genomic Medicine

Development and Validation of OncoOrigin: An Integrative AI Tool for Primary Cancer Site Prediction

Petar Brlek, Luka Bulić, Nidhi Shah, Parth Shah, Dragan Primorac

This paper develops OncoOrigin, a machine-learning tool that accurately predicts primary cancer sites from tumor DNA sequencing data in CUP patients, achieving high top-2 accuracy and ROC-AUC.

medRxiv · Nov 29, 2024 · PreprintGenetic & Genomic Medicine