most citedA nonlocal-to-local approach to aggregation-diffusion equations

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.CB20252 cited

A nonlocal-to-local approach to aggregation-diffusion equations

Carles Falcó, Ruth E. Baker, José A. Carrillo

Over the past decades, nonlocal models have been widely used to describe aggregation phenomena in biology, physics, engineering, and the social sciences. These are often derived as…

math.ST2025

Optimal experimental design for parameter estimation in the presence of observation noise

Jie Qi, Ruth E. Baker

Using mathematical models to assist in the interpretation of experiments is becoming increasingly important in research across applied mathematics, and in particular in biology and…

q-bio.QM20251 cited

Modelling collective cell migration in a data-rich age: challenges and opportunities for data-driven modelling

Ruth E. Baker, Rebecca M. Crossley, Carles Falco +1

Mathematical modelling has a long history in the context of collective cell migration, with applications throughout development, disease and regenerative medicine. The aim of model…

q-bio.QM2025

Modeling cell differentiation in neuroblastoma: insights into development, malignancy, and treatment relapse

Simon F. Martina-Perez, Luke A. Heirene, Jennifer C. Kasemeier +2

Neuroblastoma is a paediatric extracranial solid cancer that arises from the developing sympathetic nervous system and is characterised by an abnormal distribution of cell types in…

q-bio.QM2025

Optimal control in combination therapy for heterogeneous cell populations with drug synergies

Simon F. Martina-Perez, Samuel W. S. Johnson, Rebecca M. Crossley +3

Cell heterogeneity plays an important role in patient responses to drug treatments. In many cancers, it is associated with poor treatment outcomes. Many modern drug combination the…