Kakao Healthcare, Sanofi Join Hands on AI Cooperation

Developing and Advancing AI Models Using Federated Learning · Jointly Pursuing Medical Data-Based Real-World Evidence Research

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By Park Ji-soo
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null - Seoul Economic Daily Culture News from South Korea

Kakao Healthcare and global pharmaceutical company Sanofi are launching cooperation on real-world evidence (RWE) research and artificial intelligence (AI) technology based on medical data. The two companies plan to build data-driven models applicable in actual clinical settings through joint research.

Kakao Healthcare and Sanofi's Korean unit said Sunday that they signed a memorandum of understanding (MOU) on July 3 for "cooperation on medical data-based RWE research and AI solution development."

The partnership was discussed at the Korea-France Business Future Dialogue held to mark the 140th anniversary of diplomatic relations between Korea and France, making it a cooperation case combining Korea's digital healthcare infrastructure with French pharmaceutical and AI technology.

The two companies plan to jointly conduct RWE research based on medical data and develop and advance AI models using federated learning. Federated learning is a method of training AI models without transferring data externally, enabling both privacy protection and data utilization simultaneously.

Kakao Healthcare will provide a platform and technology capable of research based on real clinical data, while Sanofi will participate in the research drawing on its AI and digital healthcare capabilities and medical expertise. Through this partnership, the two companies plan to verify applicability in various fields including early disease detection and personalized patient management.

"This is meaningful in that we have established a foundation to implement RWE research based on medical data in actual clinical settings," Kakao Healthcare CEO Hwang Hee said. "We will continue to develop research models that combine data and AI."

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AI-translated from Korean. Quotes from foreign sources are based on Korean-language reports and may not reflect exact original wording.