A translational health AI lab
Healthcare that starts
before symptoms do.
We research how to detect disease earlier and monitor health over time. Most health AI research stops at a model. Ours is built into applications that clinicians and patients use.
What we do
Earlier detection, better healthcare.
Disease is often found once symptoms appear and risk rarely gets assessed. We build tools for screening, early detection and longitudinal monitoring, so clinicians can act sooner.
Risk-led screening
Tools that turn what patients already know, such as family history, into guideline-based risk assessment, so the right person gets the right test at the right time.
Early detection
New sensors and models that find the signals of disease before symptoms, and turn them into biomarkers a screening programme can use.
Longitudinal monitoring
Everyday data from wearables and phones, followed over months and years, so a shift from a person’s own baseline is caught early.
Training health AI scientists
Clinicians, biologists, and life scientists learning to build with AI — through a mentored fellowship and open, self-paced learning material.
Work with the lab.
Clinicians, researchers, and health systems with a screening or monitoring problem worth solving — or people who want to learn to build health AI. We'd like to hear from you.