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meta[bolic] And ŌURA Partner To Manage Metabolic Disease
The hybrid therapeutics company will incorporate the smart ring into its programming, taking an innovative approach to care delivery.
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For millions of people around the world, managing a metabolic disease can be emotionally challenging and complex. Metabolic issues are difficult to treat because they often require foundational behavioral changes combined with clinical interventions based on accurate medical data.
meta[bolic], a Dubai-based hybrid therapeutics company dedicated to managing chronic metabolic disease, aims to help people to better manage their metabolic health by partnering with ŌURA, the startup behind the Oura Ring — a smart wearable that delivers health data, and daily guidance into sleep, activity, readiness, and recovery.
“Wearables have come a long way in just the past few years,” explained Ali Hashemi, co-founder and chief executive officer of meta[bolic]. “Oura Ring is a step above the wearables of yesterday in terms of data fidelity and quality, but also in terms of interface and useful insights delivered to users. We are eager to bring ŌURA’s continuous monitoring and daily engagement to our patients, unlocking new capabilities around preventive care, behavior change, and habits”.
The partnership between ŌURA and meta[bolic] aims to empower patients with robust support and continuous remote data monitoring. By consistently tracking patient progress and identifying behavior patterns, the initiative will become a first step in a more integrated approach to preventive care.
“At ŌURA, we envision a future where the model for preventative care is multi-faceted and unique to each individual,” added Tom Hale, Chief Executive Officer of ŌURA. “True innovation in healthcare is driven by providers who are implementing multidimensional care and using integrated technology to empower people to make changes to their daily behavior that improve health and well-being”.
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The ŌURA and meta[bolic] partnership will also include a dedicated research program to explore the relationship between sleep, stress, and metabolic health. The resulting data will provide useful biomarkers to measure how engagement levels and sleep impact glucose improvement.
The results of the research are expected within 12 months and will act as a framework for approaching metabolic health in a more comprehensive way while generating valuable insights for the scientific community and members of the public.
News
UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks
The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.
Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.
Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.
Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.
TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.
“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.
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Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.
Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.
As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.
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