1 citations · 1 across the 6 of their papers we have counts for
6 papers
Bayesian modelling of herd-level infection dynamics in cattle: Local spread as the primary driver of Salmonella Dublin persistence on Öland
Stefan Widgren, Ivana Ewerlöf, Arianna Comin +2
Salmonella Dublin (S. Dublin), a zoonotic serotype adapted to cattle, causes animal welfare issues and economic losses. The disease has proven particularly challenging to control i…
Towards Data-Driven Modeling of Cell Cycle and Wound Closure Processes
Erik Blom, Qiyao Peng, Leah Pomfret +2
Effective wound repair treatments rely on a clear picture of how cell proliferation and migration are coordinated during tissue restoration. Fibroblasts are key contributors to tis…
DLCM: a versatile multi-level solver for heterogeneous multicellular systems
Erik Blom, Stefan Engblom
Computational modeling of multicellular systems may aid in untangling cellular dynamics and emergent properties of biological cell populations. A key challenge is to balance the le…
Modelling Population-Level Hes1 Dynamics: Insights from a Multi-Framework Approach
Gesina Menz, Stefan Engblom
Mathematical models of living cells have been successively refined with advancements in experimental techniques. A main concern is striking a balance between modelling power and th…
Modeling the hallmarks of avascular tumors
Erik Blom, Stefan Engblom, Gesina Menz
We present a stochastic computational model of avascular tumors, emphasizing the detailed implementation of the first four so-called hallmarks of cancer: self-sufficiency in growth…
Morphological stability for in silico models of avascular tumors
Erik Blom, Stefan Engblom
The landscape of computational modeling in cancer systems biology is diverse, offering a spectrum of models and frameworks, each with its own trade-offs and advantages. Ideally, mo…