AI tumor avatars & digital-twin readiness: computational tumor models integrating multi-omics and clinical context to support hypothesis generation and decision support.
Multi-modal cancer systems biology: integrating genomics, transcriptomics, proteomics and clinical data to map tumor–immune states and actionable mechanisms.
Predictive biomarkers & therapy response modelling: developing computational biomarkers for patient stratification, treatment response and resistance, with a focus on translational validation.
Abdallah M, Nakken S, Georges M, Bierkens M, Galvis J, Groppi A, Karkar S, Meiqari L, Rujano MA, Canham S, Dienstmann R, Fijneman R, Hovig E, Meijer G, Nikolski M(2026) TrialMatchAI: an end-to-end AI-powered clinical trial recommendation system to streamline patient-to-trial matching Nat Commun(in press) DOI 10.1038/s41467-026-70509-w, PubMed 41876500
Chica N, Andersen AN, Orellana-Muñoz S, Garcia I, P AN, Nakken S, Ayuda-Durán P, Håkensbakken L, Schultz SW, Rødningen E, Putnam CD, Zucknick M, Rusten TE, Enserink JM(2026) Time-resolved functional genomics using deep learning reveals global hierarchical control of autophagy Nat Cell Biol, 28(3), 465-479 DOI 10.1038/s41556-025-01837-0, PubMed 41826700
Ekstrøm PO, Nakken S, Hovig E(2026) Exploring Taq polymerase induced mutations in part of BRAF exon 15 by sequencing and mutation enrichment Mutat Res, 832, 111934(in press) DOI 10.1016/j.mrfmmm.2026.111934, PubMed 41905007
