Events Calendar

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12:00 AM - PFF Summit 2015
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NextEdge Health Experience Summit
2015-11-03 - 2015-11-04    
All Day
With a remarkable array of speakers and panelists, the Next Edge: Health Experience Summit is shaping-up to be an event that attracts healthcare professionals who [...]
mHealthSummit 2015
2015-11-08 - 2015-11-11    
All Day
Anytime, Anywhere: Engaging Patients and ProvidersThe 7th annual mHealth Summit, which is now part of the HIMSS Connected Health Conference, puts new emphasis on innovation [...]
24th Annual Healthcare Conference
2015-11-09 - 2015-11-11    
All Day
The Credit Suisse Healthcare team is delighted to invite you to the 2015 Healthcare Conference that takes place November 9th-11th in Arizona. We have over [...]
PFF Summit 2015
2015-11-12 - 2015-11-14    
All Day
PFF Summit 2015 will be held at the JW Marriott in Washington, DC. Presented by Pulmonary Fibrosis Foundation Visit the www.pffsummit.org website often for all [...]
2nd International Conference on Gynecology & Obstetrics
2015-11-16 - 2015-11-18    
All Day
Welcome Message OMICS Group is esteemed to invite you to join the 2nd International conference on Gynecology and Obstetrics which will be held from November [...]
Events on 2015-11-03
NextEdge Health Experience Summit
3 Nov 15
Philadelphia
Events on 2015-11-08
mHealthSummit 2015
8 Nov 15
National Harbor
Events on 2015-11-09
Events on 2015-11-12
PFF Summit 2015
12 Nov 15
Washington, DC
Events on 2015-11-16
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.