A5037705191- Mathematical Biology Tumor Growth
- Evolution and Genetic Dynamics
- Evolutionary Game Theory and Cooperation
- Cancer Genomics and Diagnostics
- Transportation Planning and Optimization
- Traffic control and management
- Smart Grid Energy Management
- Game Theory and Voting Systems
- Transportation and Mobility Innovations
- Plant and animal studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- Distributed Control Multi-Agent Systems
- Prostate Cancer Treatment and Research
- Bioinformatics and Genomic Networks
- Complex Systems and Time Series Analysis
- Game Theory and Applications
- Smart Parking Systems Research
- Insect-Plant Interactions and Control
- Gene Regulatory Network Analysis
- Cancer Cells and Metastasis
- Robotic Path Planning Algorithms
- Energy, Environment, and Transportation Policies
- Urban and Freight Transport Logistics
- Climate Change Policy and Economics
- Menstrual Health and Disorders
Delft University of Technology
2012-2025
Maastricht University
2012-2021
Institute of Applied Mathematics
2006-2020
University of Defence
2020
Czech Academy of Sciences
2019
Czech Academy of Sciences, Institute of Physiology
2019
Dutch Network of Systems and Control
2011
Institut national de recherche en informatique et en automatique
2009
Grenoble Images Parole Signal Automatique
2009
Centre Inria de l'Université Grenoble Alpes
2009
Abstract The application of evolutionary and ecological principles to cancer prevention treatment, as well recognizing a selection force in nature, has gained impetus over the last 50 years. Following initial theoretical approaches that combined knowledge from interdisciplinary fields, it became clear using eco‐evolutionary framework is key importance understand cancer. We are now at pivotal point where accumulating evidence starts steer future directions discipline allows us underpin...
Classical mathematical models of tumor growth have shaped our understanding cancer and broad practical implications for treatment scheduling dosage. However, even the simplest textbook been barely validated in real world-data human patients. In this study, we fitted a range differential equation to volume measurements patients undergoing chemotherapy or immunotherapy solid tumors. We used large dataset 1472 with three more per target lesion, which 652 had six data points. show that early...
In the absence of curative therapies, treatment metastatic castrate-resistant prostate cancer (mCRPC) using currently available drugs can be improved by integrating evolutionary principles that govern proliferation resistant subpopulations into current protocols. Here we develop what is coined as an ‘evolutionary stable therapy’, within context mathematical model has been used to inform first adaptive therapy clinical trial mCRPC. The objective this maintain a polymorphic tumor heterogeneity...
Mathematical modeling plays an important role in our understanding and targeting therapy resistance mechanisms cancer. The polymorphic Gompertzian model, analyzed theoretically numerically by Viossat Noble to demonstrate the benefits of adaptive metastatic cancer, describes a heterogeneous cancer population consisting therapy-sensitive therapy-resistant cells. In this study, we that model successfully captures trends both vitro vivo data on non-small cell lung (NSCLC) dynamics under...
<title>Abstract</title> In mathematical models of eco-evolutionary dynamics with a quantitative trait, two species different strategies can coexist only if they are separated by valley or peak the adaptive landscape. A community is ecologically and evolutionarily stable each species’ trait sits on global, equal fitness peaks, forming <italic>saturated</italic>ESS community. However, landscape may allow communities fewer (<italic>undersaturated</italic>) more (<italic>hypersaturated</italic>)...
Personalized cancer treatment is revolutionizing oncology by leveraging precision medicine and advanced computational techniques to tailor therapies individual patients. Despite its transformative potential, challenges such as limited generalizability, interpretability, reproducibility of predictive models hinder integration into clinical practice. Current methodologies often rely on black-box machine learning models, which, while accurate, lack the transparency needed for clinician trust...
We propose a model of cancer initiation and progression where tumor growth is modulated by an evolutionary coordination game. Evolutionary games are widely used to frequency-dependent cell interactions with the most studied being Prisoner's Dilemma public goods games. Coordination games, their more obscure less evocative nature, left understudied, despite fact that, as we argue, they offer great potential in understanding treating cancer. In this paper present conditions under which between...
This paper should be read as addendum to Dieckmann et al. (J Theor Biol 241:370–389, 2006) and Parvinen Math 67: 509–533, 2013). Our goal is, using little more than high-school calculus, (1) exhibit the form of canonical equation adaptive dynamics for classical life history problems, where examples in 2013) are chosen such that they avoid a number problems one gets this most relevant applications, (2) derive fitness gradient occurring CE from simple return arguments, (3) show explicitly...
Rapid evolution is ubiquitous in nature. We briefly review some of this quite broadly, particularly the context response to anthropogenic disturbances. Nowhere more evident, replicated and accessible study than cancer. Curiously cancer has been late - relative fisheries, antibiotic resistance, pest management human dominated landscapes recognizing need for evolutionarily informed strategies. The speed matters. Here, we employ game-theoretic modeling compare time progression with continuous...
Fish populations subject to heavy exploitation are expected evolve over time smaller average body sizes. We introduce Stackelberg evolutionary game theory show how fisheries management should be adjusted mitigate the potential negative effects of such changes. present a manager versus fish population, where former adjusts harvesting rate and net size maximize profit, while latter responds by evolving at maturation fitness. analyze three strategies: i) ecologically enlightened (leading Nash...
Prostate-specific antigen (PSA) is the most commonly used serum marker for prostate cancer. It plays a role in cancer detection, treatment monitoring, and more recently, guiding adaptive therapy protocols, where alternated based on PSA levels. However, relationship between levels tumor volume remains poorly understood. Empirical evidence suggests that different cell types produce varying amounts of PSA. Despite this, current mathematical models often assume either all contribute equally to...
Abstract We present a game-theoretic model of polymorphic cancer cell population where the treatment-induced resistance is quantitative evolving trait. When stabilization tumor burden possible, we expand into Stackelberg evolutionary game, physician leader and cells are followers. The chooses treatment dose to maximize an objective function that proxy patient’s quality life. In response, evolve level maximizes their proliferation survival. Assuming in its ecological equilibrium, compare...
Treatment resistance and tumor relapse are the primary causes of mortality in glioblastoma (GBM), with intratumoral heterogeneity playing a significant role. Patient-derived cancer organoids have emerged as promising model capable recapitulating heterogeneity. Our objective was to develop patient-derived GBM (PGO) investigate treatment response resistance.GBM samples were used generate PGOs analyzed using whole-exome sequencing (WES) single-cell karyotype sequencing. subjected temozolomide...