Cancer AI Alliance

In our latest blog, we highlight the projects that CAIA is piloting across its federated network with researchers from @MSKCancerCenter, @DanaFarber, and @fredhutch! Learn how our federated learning platform is a working engine for AI discovery! canceralliance.ai/blog/caia-canc…

Read about how @fredhutch researchers @DrSimoneDekker and Dr. Stephen Salerno are navigating real-world cancer data analysis using AI in collaboration with @allen_ai ! fredhutch.org/en/news/center…

Delighted to see CAIA's projects featured in a recent news story by @fredhutch! Read about the work @CGrassberger is doing to predict high-risk bone metases using federated learning! fredhutch.org/en/news/center…

💻 #ASCOAI: Can federated learning accelerate #precisiononcology? The Cancer AI Alliance (@CAIAorg) is training #AI models across 4 NCI cancer centers—without sacrificing patient privacy. 📝️ Interview with Eliezer Van Allen, MD (@VanAllenLab) 🔗 ascoai.org/articles/2026/…

The reasoning revolution applied to cancer data to build robust models that support finding cures

Read our recap of the 2026 @jpmorgan healthcare conference featuring CAIA leaders from @fredhutch @johnshopkins @nvidia and @MadronaVentures! canceralliance.ai/blog/beyond-ai…

Scaling Data driven cancer research is fundamentally a systems problem not just a modeling one. This article provides a clear, operational blueprint for doing federated, multi-institutional research right. Highly recommended read.

In our latest blog post, we offer a look at the challenges and barriers that the CAIA team dismantled in our mission to accelerate cancer research and discovery. Read our 5 operational principles for scaling cancer research: canceralliance.ai/blog/5-operati…

Wed, Jan 14: @JHUBME Prof @alexisjbattle joins her CAIA colleagues at J.P. Morgan's Healthcare Conference in San Fran for the "Federated AI in Oncology" panel. You can watch the livestream. Noon ET. Register: jpmorgan.metameetings.net/events/healthc…

Don't miss it if you are at the conference in person! Or you can catch the discussion at this link: jpmorgan.metameetings.net/events/healthc…

We are kicking off 2026 with a panel at the @jpmorgan Healthcare Conference in San Francisco! The panel will highlight CAIA’s progress by demonstrating how its federated learning model securely accelerates research through real-world oncology projects.

Sometimes big ideas are works of art. Welcome to the third season of (ART)ificial Intelligence, where we sat down with industry leaders at @MadronaVentures IA40 Summit to redesign, rethink and reimagine the world around us. Check it out here: nyse.com/insights/artif…

CAIA's participating cancer centers maintain full control, executing code locally while leveraging Rhino Federated Computing and @nvidia FLARE to orchestrate the network. Learn how we enable secure, collaborative AI development: canceralliance.ai/blog/caia-mult…

How do we accelerate AI-driven cancer research without compromising patient privacy? At CAIA, we keep sensitive clinical data secure behind cancer center firewalls using federated learning. Our new blog breaks down this approach.

Congrats to the @allen_ai team!

At the 2025 @Deloitte AI Forum, Pete Shimer and Brian M. Bot chatted about critical role of data federation for unlocking progress in cancer research. In our latest blog post, we offer 4 takeaways from Pete and Brian’s conversation: canceralliance.ai/blog/caia-data…

CAIA places AI at the intersection of medicine, science, and data, enabling cancer centers to focus on generating new insights and advancing cancer discovery.

CAIA's standardization process includes: ➡️ Addressing the challenge of differing data structures and formats. ➡️ Adopting the OMOP Common Data Model (CDM) to map local codes into a standardized system. ➡️ Ensuring all researchers only access de-identified clinical data.

Building powerful, multi-institutional AI models for cancer research requires a common data language. In its first year, the CAIA team set out to solve this data standardization challenge. Read more: canceralliance.ai/blog/caia-appr…

.@CAIAorg launched a federated learning platform and will pilot Asta DataVoyager, an @allen_ai data analysis AI agent, to ask questions of datasets in plain language. techtarget.com/healthtechanal… via @hitanalytics