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New Tech Allows Faster Breast Cancer Detection In Middle East
Breast cancer is the most common form of the disease for women in the Arab world. But now, AI screening solutions, precision medicine and molecular imaging are fighting back.
An estimated 2.26 million women worldwide are diagnosed with breast cancer each year. In the Arab world, nearly 20% of all new cases turn out to be breast cancer, making this form of the disease the most common for women in the region.
To tackle this problem, several medical tech companies have developed screening tests to avoid misdiagnosis and late diagnosis. From AI to 3D imaging, each solution strives to improve the screening process, making it more accessible and affordable to Middle Eastern patients.
Early Detection Improvements
Mammogram diagnostics have evolved dramatically over the years. 3D scanning allows oncologists to detect small masses in dense breast tissue much earlier than traditional imaging tools allow.
“Using 3D mammograms, we can see lumps hidden within breasts accurately. By limiting the effect of covering the breast tissue, 3D mammography can make tumor detection easier. Looking into various pictures has helped specialists discover a larger number of cancer growths which was not possible with 2D scans,” says Dr. Timor Al-Shee, Surgical Consultant of Breast Oncology, King Faisal Specialist Hospital and Research Center, Saudi Arabia.
Despite their advancements, 3D mammograms are costly and still risk the possibility of false-positive results. To minimize unnecessary biopsies and increase the accuracy of decisions, researchers from New York University and NYU Abu Dhabi have devised a method to identify cancers using AI.
Devised by a team led by Farah Shamout, Yiqiu Shen and Jamie Oliver, the AI tool offers “radiologist-level accuracy” and promises to improve the consistency and efficiency of ultrasound diagnosis.
So far, the findings have been promising, with AI able to play a complementary role as a decision-making tool during the early stages of screening, aiding clinicians when forming a diagnosis.
Genetic Testing And Molecular Imaging
As well as 3D imaging and AI, genetic testing can also achieve reliable and accurate results. Although most breast cancers are not thought to be caused by inherited mutations, the tests can be helpful for women with a family history of breast cancer.
“The UAE uses the latest technologies to drive innovation in healthcare. We are part of the DoH-led Personalized Precision Medicine Programme for oncology in the region that specifically targets breast cancer. The treatment is based on a patient’s genetic makeup and genetic changes in cancer cells,” says Dr. Fahed Al Marzooqi, COO of G42 Healthcare.
Molecular breast imaging, on the other hand, can be used alongside a mammogram and involves a radioactive tracer with a nuclear medicine scanner. The tracer is injected into a vein, and if cancer cells are detected, the tracer will light up.
As well as helping to diagnose cancers earlier, these new technologies could also be used to tailor precision medicines for treatment. Scientists already know that breast cancer is treatable if spotted early, so it seems that the future of cancer medicines is all about evaluation — from genes and environment to lifestyle factors. Meanwhile, technological advances are beginning to allow oncologists to tailor highly individual treatment plans for patients.
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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.
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.
