Briya Expands Global Health Data Network to 120 Million Patient Journeys

April 14, 2026
Briya announced that its global data network now includes over 120 million patient records, expanding coverage to Latin America and the UK to support AI-driven medical research through its Briya AIRE research engine.

Briya has expanded its global health data network to include over 120 million patient records, announced in a press release. The expansion integrates data from Latin America and the United Kingdom, enhancing access to diverse and representative real-world datasets for medical and biopharma research.

The company’s global footprint now includes 50 million patient records from the United States and the European Union, with additional data from Asia, the Middle East, Latin America, and the UK. The new datasets provide population diversity and longitudinal healthcare information essential for clinical research and trial matching.

Integrated with Briya’s AIRE research engine, the network allows researchers to access anonymized multimodal medical data, including electronic health records, lab tests, and imaging. The system uses natural language processing to extract insights from unstructured sources and enables real-time curation of datasets tailored to specific research needs.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Life AI Weekly or Daily AI Brief.

Also, consider following us on social media:

Subscribe to Life AI Weekly

Weekly coverage of AI applications in healthcare, drug development, biotechnology research, and genomics breakthroughs.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more