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World Congress on Medical Toxicology
2020-12-01 - 2020-12-02    
12:00 am
World Congress on Medical Toxicology Medical Toxicology Pharma 2020 provides a global platform to meet and develop interpersonal relationship with the world’s leading toxicologists, pharmacologists, [...]
01 Dec
2020-12-01 - 2020-12-02    
All Day
International Conference on Food Technology & Beverages” at Kyoto, Japan in the course of Kyoto, Japan, December, 01-02, 2020 Theme of the Food Tech 2020 [...]
Biomedical, Bio Pharma and Clinical Research
2020-12-03 - 2020-12-04    
12:00 am
Biomedical, Bio Pharma and Clinical Research Conference Series LLC LTD cordially invites you to be a part of “2nd International Conference on Biomedical, Bio Pharma [...]
NODE Health 4th Annual Digital Medicine Conference
2020-12-07 - 2020-12-12    
12:00 am
NODE.Health is delighted to announce the 4th Annual Digital Medicine Conference - Evidence Matters. Never before has the transformation of our healthcare system been more [...]
2020 Global Digital Health Forum
2020-12-07 - 2020-12-09    
12:00 am
Organized by Global Digital Health Network Digital health can be the great leveler – it can give anyone access to information about health and disease. [...]
International Conference on Cancer Treatment and Prevention
2020-12-14 - 2020-12-15    
12:00 am
Cancer Treatment Forum 2020 regards each one of the individuals to go to the "Cancer Treatment Forum 2020" amidst December 15, 2020 UK-Time Zone( GMT [...]
International Conference on Neurology and Neural Disorders
2020-12-14 - 2020-12-15    
12:00 am
International Conference on Neurology and Neural Disorders Neurology Research 2020 will join world-class professors, scientists, researchers, students, perfusionist, neurologist to discuss methodology for ailment remediation [...]
Events on 2020-12-03
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.