AI
Models that learn the rules of biology from data at scale.
Our work spans the technology and methods we build with, the clinical areas we focus on, and the fields we translate it into — one connected research graph.
Models that learn the rules of biology from data at scale.
Pretrained biological models adapted across many tasks.
Simulating biology computationally before the wet lab.
Virtual patients and tissues that mirror real physiology.
Integrating genome, transcriptome, proteome and more.
Resolving biology one cell at a time.
Structure, function and design of the molecular machines.
Gene-environment polygenic risk for individual prediction.
Decoding tumor biology toward precision oncology.
Early detection and targeted therapy programs.
Subtype-aware models for treatment response.
Cardiovascular risk, mechanisms and intervention.
Brain and nervous-system disease modeling.
Sleep as a window into systemic health.
From target to candidate, computationally guided.
Tools and devices that bring models to the clinic.
Translational biology turned into products.
Hard science and engineering at the core.
Eleven AI platforms across our two labs.