Brain age & neuroimaging
How should imaging-derived age measures be built, bias-adjusted and interpreted across studies?
Research that informs the work
The founder's academic research provides a methodological foundation. It is not a claim of company clinical validation or completed client projects.
Three themes
Depth before breadth.
AI model evaluation
How do model choice, evaluation design and repeatability affect the evidence behind a prediction?
Biomarker research directions
How can imaging and blood-based measures add information in aging and neurodegeneration research? Blood-based work is a research direction, not an available test.
Selected evidence
Methods with a publication trail.
Predicting Brain Age Using Machine Learning Algorithms: A Comprehensive Evaluation
Read the paper (external site)Patch-wise brain age longitudinal reliability
Read the paper (external site)Bias-adjustment in neuroimaging-based brain age frameworks: A robust scheme
Read the paper (external site)From method to output
Inspect an example report.
The synthetic model-review example makes the reporting approach visible: assumptions, measures, findings and limits. Its artificial data are available to inspect.
A research question worth examining?
Start with a short, non-confidential description. We reply with a suggested next step.