The Faculty of Mathematics and Natural Sciences: Search
Now showing items 1-7 of 7
Integrating Complex Biomedical Datasets into Differential Equation Models
(2025-07-09)
This thesis focuses on developing mathematical models utilizing complex biomedical datasets to understand epidemiological and cell-biological processes. The thesis is divided into three primary research articles and addresses ...
In Silico Facets of Biochemical Research: Accounts from Protein Folding and Protein-Ligand Interaction Studies
(2020-09-04)
Exponential advancements in computer technology over the last five decades have ubiquitously benefited science and humanity as a whole. Consequent beneficiaries of this surge of computational power include all subfields ......
Mathematical modeling and efficient simulation of epidemic metapopulation dynamics: Integrating mobility, behavior, and machine learning
(2026-07-13)
Infectious disease modeling faces an inherent tension between physical realism and computational feasibility. Granular metapopulation models offer interpretability and the capacity to resolve complex behavioral dynamics ......
A stochastic modelling framework for cancer patient trajectories: combining tumour growth, metastasis, and survival
(2025-05-22)
Cancer is a major burden of disease around the globe and one of the leading causes of premature death. The key to improve patient outcomes in modern clinical cancer research is to gain insights into dynamics underlying ...
Parameter estimation and model selection for the quantitative analysis of oncolytic virus therapy in zebrafish
(2025-08-13)
Oncolytic virus therapy (OVT) is emerging as a potent alternative to conventional cancer treatments by employing engineered viruses that selectively infect and lyse tumor cells while sparing normal tissues. Although ...
Next-generation discovery: empowering organoid research with machine learning, artificial intelligence, and mathematical modeling
(2026-03-13)
Organoids have rapidly matured into powerful model systems. The field is pushing organoids toward architectural sophistication and functional fidelity, with longitudinal experiments producing ever-larger and more complex ...
Deep Learning–Based SD-OCT Layer Segmentation Quantifies Outer Retina Changes in Patients With Biallelic RPE65 Mutations Undergoing Gene Therapy
(2025-01-02)
PURPOSE. To quantify outer retina structural changes and define novel biomarkers of inherited retinal degeneration associated with biallelic mutations in RPE65 (RPE65-IRD) in patients before and after ......









