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The Cancer Alliance Ai Alliance (Caia) combines important medical institutions to exploit the AI ​​in cancer care. With an investment of 40 million dollars, the initiative aims to improve data sharing and facilitate innovation in precision medicine.

Key points:

• The alliance includes important institutions such as Fred Hutchinson and Johns Hopkins.
• The federated learning approach protects data privacy.
• The aim of creating a collaborative infrastructure for cancer research.
• The first intuitions could emerge by the end of 2025.

The Cancer Ai Alliance (Caia), a new initiative that brings together several prominent medical institutions in the field of cancer research, aims to maximize the use of AI to advance in precision medicine. With a financing of 40 million dollars, provided by technology supporters, the alliance aims to face the challenges related to data sharing, a crucial theme in oncological research. Fred Hutchinson, who coordinates the initiative, together with illustrious partners such as Johns Hopkins, Dana Farber and Sloan Kettering, aims to create a collaboration network that can overcome the barriers existing in communication and access to information.

During the Intelligent Applications Summit in Seattle, the president and director of Fred Hutch, Tom Lynch, officially presented the initiative, underlining the importance of a synergistic collaboration between the institutions. Lynch has illustrated how a joint approach can accelerate access to fundamental scientific knowledge, especially in critical situations, as in the case of a pediatric patient suffering from a rare type of cancer. This example highlights how the segregation of information between research centers can delay access to potentially life -saving treatments, accentuating the need for a more effective sharing model.

One of the main obstacles to sharing data between medical organizations is represented by rigid regulations, concerns relating to security and differences in data formats. Even when a useful study is available in another center, its accessibility can be limited by these constraints. Caia intends to face these problems through the implementation of federated learning, a methodology that allows collaboration without compromising data privacy. In this way, the data remain located, but can be used to form IA models and computational systems that could contribute to significant discoveries in the treatment of cancer.

The creation of a shared infrastructure, together with common standards and objectives, represents the main challenge that Caia aims to face. Jeff Leek, VP and Chief Data Officer of Fred Hutch, said that, although the project is technically complex, it is absolutely feasible once the main participants are aligned and ready to collaborate. The combination of resources and skills of technological giants such as Microsoft, Aws, Nvidia and Deloitte proves to be crucial to support this process. The 40 million dollar mix includes not only liquidity, but also intangible services and resources, intended to facilitate the beginning of Caia’s operations, expected by the end of the year. The first analyzes and intuitions deriving from this collaborative work could be available by 2025, providing an important basis for the progress of cancer.

The alliance therefore represents a significant step towards greater integration in oncological research, highlighting the importance of a cooperative approach to face a complex and multifactorial disease such as cancer.