Cancer AI Alliance

Two years ago, the Cancer AI Alliance set out to transform cancer research. Today, we're celebrating how far CAIA has come.

In just two years, CAIA has united insights from the data of over 1 million patients, proving what’s possible when cancer centers collaborate at scale.

Read our latest blog post on how our Cancer AI lab brings clinicians, model developers, computational scientists, and data experts together to solve challenges and optimize federated workflows.

When AI models travel to secure edge nodes at cancer centers, what happens?

How do they help researchers understand how patients will respond to complex treatments?

We take a deeper look at how gradient updates help AI models make smarter predictions:
canceralliance.ai/blog/training-…

In our latest blog post, we explain why the Cancer AI Alliance chose OHDSI's Observational Medical Outcomes Partnership (OMOP) as its Common Data Model (CDM).

canceralliance.ai/blog/why-the-c…

Do cancer centers have to switch to a different cloud environment to participate in CAIA's federated learning network?

The short answer is: No. Cancer centers can continue to operate on the cloud environments that work best for them.

Learn more:
canceralliance.ai/blog/multi-clo…