Samsung and Galeon Decentralize Healthcare Data to Boost Privacy and AI Innovation

Generated by AI AgentCoin World
Tuesday, Sep 23, 2025 6:08 am ET1min read
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- Samsung partners with Galeon to develop decentralized AI healthcare solutions using blockchain for secure data management and AI training.

- Galeon's Blockchain Swarm Learning (BSL) enables cross-hospital AI training without compromising patient privacy through decentralized data sharing.

- The collaboration introduces gamified platform Atlantis, leveraging $GALEON tokens to incentivize global healthcare community participation and data contribution.

- $GALEON's market cap growth and projected 150% price increase highlight blockchain's potential to transform medical data governance and AI innovation.

- This partnership addresses healthcare data privacy challenges while creating scalable, transparent systems for patients, hospitals, and researchers worldwide.

Samsung has announced a strategic partnership with Galeon, a blockchain-based AI healthcare initiative, to advance decentralized solutions for medical data management and AI training. The collaboration aims to leverage Galeon’s decentralized electronic health records (EHR) system and blockchain technology to enhance patient care, data privacy, and AI-driven diagnostics. Galeon’s platform, which already operates in hospitals and governments globally, categorizes patient, doctor, and staff data while ensuring privacy through a decentralized architecture. Samsung’s involvement is expected to amplify the platform’s scalability and integration into mainstream healthcare systems[1].

Central to the partnership is Galeon’s Blockchain Swarm Learning (BSL) technology, a decentralized AI training method that allows hospitals to share data without compromising patient confidentiality. Unlike traditional centralized or federated learning models, BSL enables AI algorithms to be trained across distributed data sources while keeping sensitive patient information localized. This approach addresses challenges such as data fragmentation and regulatory barriers, which have historically hindered AI adoption in healthcare. By using blockchain to track AI training and distribute value proportionally, Galeon ensures transparency and incentivizes participation from hospitals and patients[2].

A key component of the collaboration is Galeon’s new gamified platform, Atlantis, launched in November 2024. Designed to foster a decentralized medical community, Atlantis allows users—dubbed “Pionieri”—to organize healthcare events, contribute data securely, and engage with a global network of patients and professionals. The platform operates 24/7 and integrates a governance token, $GALEON, which users can employ for transactions, voting on non-profit scientific projects, and accessing advanced AI-driven care features. The gamification element aims to encourage participation from both healthcare professionals and crypto enthusiasts, bridging the gap between Web2 and Web3 ecosystems[1].

Galeon’s $GALEON token plays a pivotal role in the ecosystem. With a market capitalization of approximately $20 million as of December 2024, the token is traded exclusively on

and is projected to see a 150% price increase since the beginning of the year. Analysts suggest short-term volatility is likely due to broader cryptocurrency market dynamics, but medium-term forecasts remain optimistic, with a potential rise to $0.08 by 2025. This would elevate Galeon’s valuation to over $60 million, enabling further partnerships and research initiatives[1].

The partnership with Samsung underscores a growing trend of integrating decentralized technologies into healthcare to address privacy, efficiency, and equity challenges. By decentralizing data ownership and AI training, Galeon and Samsung aim to create a collaborative ecosystem where patients, hospitals, and researchers can benefit from secure, scalable, and transparent systems. As the global healthcare sector grapples with rising costs and data security concerns, such innovations could redefine how medical data is managed and utilized[1].

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