The Faculty of Mathematics and Natural Sciences: Search
Now showing items 1-5 of 5
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 ...
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 ......
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 ...
Identifiability and uncertainty for ordinary differential equation models with qualitative or semiquantitative data
(2025-09-26)
The estimation of unknown parameters is a key step in the development of mechanistic dynamical models for biological processes. While quantitative measurements are typically used for model calibration, in many applications, ...
Assessment of uncertainty quantification in universal differential equations
(2025-04-02)
Scientific machine learning is a new class of approaches that integrate physical knowledge and mechanistic models with data-driven techniques to uncover the governing equations of complex processes. Among the available ...







