CAIA’s federated learning platform is a working engine for AI discovery.
Clinical Innovation Projects
Half of CAIA’s projects are focused on clinical innovation. These use AI to answer critical questions related to patient care today. But they aren't doing it in isolation. By leveraging CAIA’s federated network, researchers can train their models on massive, de-identified datasets spanning multiple institutions. This allows them to spot rare patterns that a single hospital simply doesn't have the patient volume to sufficiently understand.
Predicting
prostate cancer
lineage plasticity
Predicting
immunotherapy
outcomes
Predicting
skeletal-related
events for
outcomes for
bone metastases
While clinical innovation is about solving today's problems, AI innovation is about building the infrastructure for tomorrow. Rather than building separate AI models for every type of cancer, these projects are creating the underlying "brains": massive foundation models trained on cross-institutional data. Once these baseline models are built, future researchers can use them as tools to answer many questions based on the patterns captured in the models.If clinical innovation is about solving today's problems, AI innovation is about building the infrastructure for tomorrow.
Rather than building separate AI models for every type of cancer, these projects are creating the underlying "brains": massive foundation models trained on cross-institutional data. Once these baseline models are built, future researchers can use them as tools to answer many questions based on the patterns captured in the models.
CAIA
DataVoyager
Cancer
measurement
foundation
model
Predicting
responses to
IDH inhibitor
therapy
AI Innovation Projects
LLMs for
Cancer EHR
Integration of longitudinal
EHR
Data
We are currently supporting eight unique pilot projects across our federated network. These projects represent the first wave of our efforts, proving that we can analyze vast amounts of data while keeping patient privacy secure at the local level.