Author

Nikos I. Kavallaris

Karlstad UniversityORCID 0000-0002-9743-8636Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Cancer Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Approach:mechanistic / dynamical model· 1 Approach:statistical model· 1

Frequent Co-Authors

Farrukh JavediD· 1 shared Haralampos HatzikirouiD· 1 shared Juan Carlos López AlfonsoiD· 1 shared Marta LeocataiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 3 mutual co-author links

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1 shared paperCancer Biology

Farrukh JavedORCID

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2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMar 25, 2026

Nonlocal Proliferation and Explosive Tumour Dynamics: Mechanistic Modelling and Bayesian Inference

Nikos I. Kavallaris, Farrukh Javed

This paper introduces a mechanistic tumour-growth model with nonlocal feedback and Bayesian inference to explain explosive tumour dynamics and quantify their parameters from data.

DOI 10.64898/2026.03.23.713731

mechanistic / dynamical modelBayesian inference

𝕏 PostBluesky

Systems BiologybioRxivPreprintMar 25, 2019

A novel averaging principle provides insights in the impact of intratumoral heterogeneity on tumor progression

Marta Leocata, Juan Carlos López Alfonso, Nikos I. Kavallaris, Haralampos Hatzikirou

The paper introduces a novel averaging method for random ordinary differential equations and applies it to study how intratumoral heterogeneity affects tumor growth dynamics.

DOI 10.1101/584490

statistical model

𝕏 PostBluesky