Longitudinal monitoring
The case for continuous cognitive monitoring
Cognitive assessment today happens in snapshots, months or years apart. But decline is a process, not an event — and the most useful question is often how someone is changing from their own normal. Here's the scientific case for tracking that continuously.
Read articleResponsible AI
What makes a biomarker explainable — and why it matters clinically
A model can be accurate and still be useless to a clinician if it can't say why. In healthcare, explainability isn't a nice-to-have — it's what makes a signal trustworthy, actionable, and increasingly, compliant. Here's what 'explainable' should mean in practice.
Read article New writing every few weeks. This section grows deliberately — quality over cadence.
How these connect
One body of work, many entry points.
These aren't standalone posts — they map to the same themes as our Evidence Hub, so you can follow a thread from a plain-English article into the underlying peer-reviewed science.