Disease progression modelling
Longitudinal models of clinical and biomarker trajectories, with a focus on neurodegenerative diseases. Hierarchical Bayesian formulations when inter-subject variability and uncertainty quantification matter.
About Moldekia
Moldekia provides quantitative consulting at the intersection of medical research, machine learning, and Bayesian statistics. The company supports academic and industry partners on problems where modelling assumptions matter — disease progression, neuroimaging, and applied data science — and where transparent, reproducible methods are required.
Medical image analysis
Registration, statistical atlases, shape analysis, and quantitative biomarker extraction from clinical and research imaging. Pipelines designed for reproducibility and auditability.
Applied data science
End-to-end statistical workflows for research questions: data cleaning, modelling, validation, and reporting. Practical solutions delivered as documented, runnable code.
How we work
We favour interpretable models over black boxes when the question allows it. Priors are made explicit. Assumptions are documented. Pipelines are built to be reproduced. The goal is a result that the client can defend, audit, and extend.
Sectors
- Academic research groups
- Medical research institutions
- Biotech and clinical research organisations