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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.

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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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Noon And Yango Switch On Robot Deliveries In Dubai

The rollout folds autonomous couriers into noon’s rapid-delivery network as the UAE tests everyday autonomy.

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noon and yango switch on robot deliveries in dubai

Noon and Yango Group have signed an agreement to put autonomous robot deliveries into commercial use in Dubai, turning Yango’s earlier pilots into a daily service for noon Minutes orders. The launch in Sobha Hartland is the first full integration of Yango Autonomy’s electric robots with a major e-commerce network in the region, with wider deployment planned across Dubai and, later, other GCC markets.

Residents can choose a robot at checkout, track it in the app and unlock its compartment once it arrives. The hardware runs on Yango’s AI navigation and routing stack, which plans paths, avoids obstacles and yields to pedestrians. The units had already covered more than 1,500 kilometers during previous Dubai pilots, a test bed that demonstrated their ability to operate in mixed pedestrian environments and dense residential streets.

The rollout adds a contactless option to noon’s last-mile network and is positioned as extra capacity during peak periods. “Partnering with Yango Group lets us bring a future-ready delivery option straight to our customers,” said Ali Kafil-Hussain, noon’s Chief Business Officer. Noon has used Minutes to set rapid-delivery expectations in UAE cities; autonomous units now slot into that same high-frequency model.

Regulatory clearance from Dubai’s Roads and Transport Authority underpins the move. The RTA authorized Yango’s robots to operate on public walkways and in neighborhoods, smoothing the shift from controlled trials to commercial work. Dubai has framed autonomous mobility as part of its smart-city buildout, and the partners lean on that agenda to accelerate integration.

Also Read: Uber And WeRide Roll Out Driverless Robotaxis In Abu Dhabi

For Yango, the partnership is an anchor for its autonomy platform in the Gulf. Islam Abdul Karim, Yango’s Middle East regional head, said the aim is to make autonomous delivery an “everyday, reliable service” for UAE communities. The company views operational data from early districts as the basis for scaling into more communities and, eventually, cross-border rollouts.

The move lands as Gulf retailers search for faster fulfilment and lower-emission logistics. Autonomous couriers remain a small share of last-mile delivery, but Dubai’s approvals and early usage data give the partners a clearer path to turn pilots into durable infrastructure.

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