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Israelis Have Successfully Grown Mouse Embryos In Artificial Wombs

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israelis have successfully grown mouse embryos in artificial wombs
Weizmann Institute Of Science

Thanks to the work of a group of Israeli scientists, we’re one step closer to being able to grow human babies in artificial wombs. The scientists, led by Professor Jacob Hanna, have successfully extracted 250 embryos from pregnant mice and placed them in a contraption designed to simulate the uterine wall and give the embryos the right conditions to grow.

“We have grown hundreds of mice in this way, in a method that has taken seven years to develop, and I’m still captivated every time I see it,” said Hanna, who works at the Weizmann Institute of Science, a public research university in Rehovot, Israel. “This could be relevant to other mammals, including humans, though we acknowledge that there are ethical issues related to growing humans outside the body.”

Hanna and his team have revealed their breakthrough in the peer-reviewed journal Nature, a multidisciplinary publication known for publishing the finest research from a variety of academic disciplines.

Previous experiments of this kind involved fetuses with already developed organs, such as when the Children’s Hospital of Philadelphia grew fetal lambs for over four weeks in artificial wombs back in 2017. The Israel-based team started with five-days old embryos consisting of just 250 cells, placing them into a special liquid to provide nourishment.

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“By day 11, they make their own blood and have a beating heart, a fully developed brain. Anybody would look at them and say, ‘this is clearly a mouse fetus with all the characteristics of a mouse.’ It’s gone from being a ball of cells to being an advanced fetus,” explained Hanna.

While this experiment certainly invokes unsettling scenes from the movie Matrix, with machines growing humans in massive quantities to extract electricity from their bodies, scientists are still a long way from applying the research to create life outside the human body. It’s even possible that the ethical issues surrounding such research will lead to its bad, or at least a heavy regulation.

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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.

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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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