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Transforming Medicine: Evidence-Driven mHealth
2015-09-30 - 2015-10-02    
8:00 am - 5:00 pm
September 30-October 2, 2015Digital Medicine 2015 Save the Date (PDF, 1.23 MB) Download the Scripps CME app to your smart phone and/or tablet for the conference [...]
Health 2.0 9th Annual Fall Conference
2015-10-04 - 2015-10-07    
All Day
October 4th - 7th, 2015 Join us for our 9th Annual Fall Conference, October 4-7th. Set over 3 1/2 days, the 9th Annual Fall Conference will [...]
2nd International Conference on Health Informatics and Technology
2015-10-05    
All Day
OMICS Group is one of leading scientific event organizer, conducting more than 100 Scientific Conferences around the world. It has about 30,000 editorial board members, [...]
MGMA 2015 Annual Conference
2015-10-11 - 2015-10-14    
All Day
In the business of care delivery®, you have to be ready for everything. As a valued member of your organization, you’re the person that others [...]
5th International Conference on Wireless Mobile Communication and Healthcare
2015-10-14 - 2015-10-16    
All Day
5th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies" The fifth edition of MobiHealth proposes [...]
International Health and Wealth Conference
2015-10-15 - 2015-10-17    
All Day
The International Health and Wealth Conference (IHW) is one of the world's foremost events connecting Health and Wealth: the industries of healthcare, wellness, tourism, real [...]
Events on 2015-09-30
Events on 2015-10-04
Events on 2015-10-05
Events on 2015-10-11
MGMA 2015 Annual Conference
11 Oct 15
Nashville
Events on 2015-10-15
Latest News

Samsung Teams Up with Galeon to Bring Blockchain AI to Women’s Health Diagnostics

EMR Industry

Samsung Partners with Web3 Startup Galeon to Advance AI-Driven Women’s Health Diagnostics
Samsung has joined forces with Web3 healthcare startup Galeon to integrate AI-enabled ultrasound devices with Galeon’s decentralized electronic medical record (EMR) system, aiming to enhance women’s health diagnostics while safeguarding patient privacy. The collaboration links Samsung’s ultrasound technology with Galeon’s blockchain-based EHR platform, which is currently deployed in 18 European hospitals.

The partnership leverages Galeon’s Blockchain Swarm Learning technology to enable decentralized AI training on anonymized and encrypted datasets, without centralizing sensitive patient records. Only the AI algorithm operations are recorded on the blockchain for traceability, while imaging data remains anonymized and off-chain.

Galeon will provide a dedicated connector for each Samsung ultrasound device installed in hospitals, ensuring secure, seamless data transfer between hardware and software—a critical solution in healthcare, where diagnostic tools often struggle to integrate with patient management systems.

“We are incredibly proud of this partnership and excited to transform the healthcare market together,” said Benjamin Tarter, Head of Women’s Health at Samsung France.

The system is designed to enhance obstetric care by digitally storing ultrasound data directly in patient records, replacing the current practice of delivering results primarily as printed reports and images. This integration enables clinicians to access detailed fetal measurements, morphological observations, and biometrics from previous exams during follow-up appointments.

“Samsung’s device expertise combined with our live EHR and decentralized AI infrastructure delivers what the industry has been missing,” said Loïc Brotons, CEO of Galeon. “Beginning with women’s health, we are linking AI-powered imaging, real-time hospital workflows, and community-governed research to accelerate discoveries while safeguarding patient privacy.”

The partnership also incorporates a research dimension through Galeon’s Atlantis platform and GALEON token, allowing a community of over 100,000 members to vote on medical research funding priorities. This model aims to democratize research funding, aligning it with patient needs rather than solely commercial interests.

By leveraging a decentralized architecture, the collaboration meets the growing demand for AI-supported diagnostics while maintaining strict patient privacy. Hospitals retain full control of their data while benefiting from enhanced diagnostic accuracy and more efficient workflows.