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Apple Rumored To Be Trialing Blood Glucose Management

The Cupertino company is reportedly exploring the benefits for pre-diabetic users, though public release plans remain uncertain.

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apple rumored to be trialing blood glucose management
Apple

Apple is reportedly exploring new ways to monitor blood glucose levels, this time focusing on software-based solutions. According to Bloomberg’s Mark Gurman, Apple has already tested an app specifically aimed at helping pre-diabetic users manage diet and lifestyle choices. While Apple currently has no plans to launch the app to the public, it may influence future health-focused offerings.

The app was reportedly tested internally, with Apple identifying potential employee test subjects using blood test data. Participants were chosen if they were at risk of developing Type-2 diabetes and given software to actively monitor their blood sugar via various devices available on the market, logging glucose changes in response to their food choices. The app tracked these trends, correlating dietary adjustments to blood sugar levels.

Gurman mentions that Apple has since paused the app’s testing to concentrate on other health-related features. Apple’s Health app currently lacks a meal tracking feature — something that’s readily available on competing platforms. The report also suggests Apple could eventually integrate third-party glucose-tracking capabilities into its own ecosystem.

Also Read: Apple Watch Gets UAE Approval For Sleep Apnea Detection

The recent experiments by Apple are said to be separate from the company’s long-term goal of developing a non-invasive method for monitoring blood glucose levels — a project that has been under exploration for around 15 years. Apple’s current prototype device for non-invasive glucose monitoring is reportedly about the size of an iPhone and uses laser technology to penetrate the skin with light.

Gurman speculates that Apple’s initial consumer version may take the form of an alert system that notifies users if they are at risk of pre-diabetes, with specific blood glucose level readings possibly arriving in later versions of the device.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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