Author

Monika Simjanoska

Ss. Cyril and Methodius University in SkopjeORCID 0000-0002-5028-3841Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:chromatin & epigenetic regulation· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

Blagojche GjorgjioskiiD· 1 shared Djansel BukoveciD· 1 shared Goran KungulovskiiD· 1 shared Ivana VichentijevikjiD· 1 shared Kostadin MisheviD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 4 mutual co-author links

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1 shared paperCancer Biology

Blagojche GjorgjioskiORCID

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2 papers

Recent·Most cited

Cancer BiologyEpigenetics & ChromatinPeer-reviewedSep 29, 2026

DNA methylation variability defines a fundamental dimension of tumor epigenomes linked to genomic instability, tumor aggressiveness, and clinical outcomes

Djansel Bukovec, Blagojche Gjorgjioski, Monika Simjanoska, Goran Kungulovski

This study quantifies DNA methylation variability across 16 cancer types and links it to genomic instability, tumor aggressiveness, and poor clinical outcomes.

1 citation

humanDNA methylation

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BioinformaticsBioinformatics AdvancesPeer-reviewedDec 20, 2025

Prompt-to-Pill: Multi-Agent Drug Discovery and Clinical Simulation Pipeline

Ivana Vichentijevikj, Kostadin Mishev, Monika Simjanoska

This paper introduces a multi-agent AI framework for drug discovery and clinical simulation, demonstrating its use case with DPP4 targeting.

6 citations

machine learning (classical)large language model

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