ASCEND research arc
Modelling clinical trajectories to study risk, patterns of disease, and how clinical models can be interpreted.
Latest public milestone ·
Interpreting clinical sequence models (preprint)
projects
Research and software
Clinical sequence modelling, scientific discovery and tools for doing research. These summaries describe the purpose of the work; public outputs provide the detail.
Where shown, stages describe public development status—not percentage complete or clinical readiness. Milestones are dated public outputs, not a live research log.
Clinical sequence modelling
Understanding patterns in electronic health records and their value for medical research.
ORCA
Studying electronic health records as a language, with the aim of making clinical sequences easier to interpret and compare.
Phenotype fingerprinting
Exploring how patterns in clinical records could help characterise under-recognised disease.
Scientific discovery systems
Making scientific literature and possible research directions easier to explore.
NEXUS
Investigating where ideas and methods from one field might help solve problems in another.
Physarum
Tools for comparing possible research directions and supporting scientific judgement.
Public release
glucose.ai
A public literature-discovery site connecting diabetes research with developments in AI and machine learning.
Research software
Software that helps research remain connected and usable over time.
pi / Cog workflows
Tools for connecting research sources, experiments and synthesis, so useful work is easier to organise and revisit.