Five leading technology companies are contributing more than $40 million to CAIA, a new research initiative dedicated to improving cancer treatment.
CAIA was launched today during an event in Seattle hosted by Madrona Venture Group. CAIA stands for Cancer AI Alliance and pays homage to the fact that its participants use artificial intelligence to support clinical work.
The initiative’s launch was led by the Fred Hutchinson Cancer Research Center in Seattle. The institute also helped secure initial funding for CAIA. Fred Hutchinson’s future responsibilities will include coordinating research collaboration among CAIA members.
In addition to Fred Hutchinson, CAIA has three other cancer research institutes scheduled to launch. Dana-Farber Cancer Institute, Memorial Sloan Kettering Cancer Center, and Sidney Kimmel Comprehensive Cancer Center. The latter institute is affiliated with John Hopkins University and will also participate through the university’s Whiting School of Engineering.
High-tech companies that provided initial funding to CAIA included Amazon Web Services, Microsoft, and NVIDIA, with similar contributions from Deloitte Touche Tohmatsu Limited and Slalom Consulting LLC, two of the largest companies in the information technology services market. did.
“AWS is proud to support the Cancer AI Alliance and help achieve its important mission of transforming cancer research and care,” said Matt Garman, CEO of AWS. “Together, we will accelerate innovation in cancer discovery and treatment, deploy generative AI at scale, and leverage the power, agility, and security of cloud computing to improve health and patient outcomes. We will revolutionize outcomes.”
One of CAIA’s goals is to advance the development of industry standards that can support cancer research. In addition, the group will provide participating healthcare organizations with the infrastructure to process data collected during the delivery of cancer care. That data includes medical images, electronic health records, and other files.
CAIA members plan to collaborate on research projects through an approach called federated AI. In some cases, clinical collaborations require participants to share raw medical data, which can create cybersecurity risks. CAIA states that implementing federated AI will reduce these risks.
According to Fred Hutchinson, the technology allows researchers to use AI models to analyze datasets and make the results available to colleagues without sharing the underlying data. This avoids cybersecurity issues that can occur when medical records are moved between different organizations. Under CAIA’s Federated AI Framework, each participating research center maintains its own separate data repository and AI model.
CAIA wants to advance cancer research in a variety of ways. The group envisions its members working together to uncover new insights into tumor biology. Another focus of CAIA’s research efforts is identifying therapeutic targets, which are molecules or processes associated with cancer that could serve as targets for improved treatments.
“The convergence of AI, complex medical data, and federated learning is ushering in a new era in cancer research,” said Nvidia CEO Jensen Huang.
CAIA is scheduled to begin operations this year and is expected to begin producing research results by the end of 2025. In parallel, the CAIA Steering Committee plans to establish membership criteria as part of an effort to involve more organizations. The goal is to increase the number of participating researchers and raise $1 billion over the long term to support their research.
Photo: Fred Hutch
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