We explore the practicality of guiding treatment scheduling based on the convexity (or concavity) of dose-response curves, which provides a straightforward comparison of continuous treatment and high-dose / low-dose alternatives. Concave dose-response functions predict that the daily administration of a dose of x may be less efficacious than a regimen that switches equally between 120% of x...
In this talk, we investigate how organs acquire functional structure and rebuild after injury using Individual Based Models (IBM) confronted with experimental data. We first study simple 2D and 3D models for architecture emergence, with cells appearing and growing in a dynamic network of cross-linked fibers. Cells and fibers interact via mechanical repulsion. When applied to adipose tissue,...
Understanding how groups of cells robustly coordinate their behavior represents a key question in developmental biology. Mathematical modeling helps to address this problem by enabling researchers to investigate hypotheses in an abstract setting, yet it remains challenging to link these theoretical frameworks to experimental data. Here, we present a novel computational pipeline that addresses...
Neoadjuvant therapy (NAT) is a standard initial treatment for triple-negative breast cancer (TNBC), yet early prediction of treatment response remains challenging. This capability would enable adjustment of therapeutic plans to optimize outcomes and minimize toxicities. To this end, I will present a mechanistic, multiscale mathematical model of TNBC response to NAT that integrates in vivo...
To inform decisions rather than replicating noise, low-dimensional and identifiable models calibrated with multiscale data can serve as reliable tools through separating host-level constraints from lesion-level properties.
As an example for a simple, yet structured approach, we present a mechanistic model formulating systemic cancer dynamics that links primary and metastatic growth through...
Cancer cells exhibit a remarkable ability to adopt different phenotypic states in response to cell-intrinsic programs and environmental cues, a phenomenon known as cancer cell plasticity. Plasticity underlies tumour heterogeneity, treatment resistance, and metastasis. To move therapeutic approaches beyond pathway and enrichment analyses comparing early and late disease, we need to understand...
We developed a data-integrative framework to parametrize and validate an agent-based model (ABM) of triple-negative breast cancer (TNBC) metastasis in the lung, focusing on the emergent dynamics of tumor-microenvironment interactions. The model represents tumor cells, fibroblasts, macrophages, and endothelial cells as interacting agents, governed by probabilistic rules for proliferation,...
Biology is no longer limited by ideas; it is limited by our ability to connect them. This minisymposium spotlights cross-disciplinary research that turns wet-lab and clinically derived measurements into mechanistic, testable mathematical and computational models — and back again. We will showcase studies where experiments and modelling are co-designed: data inform the model, the model makes...
