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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.
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.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.

Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
