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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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LUVED Is A New Curated Preloved Marketplace For The UAE

Sellers keep 100 percent of every sale and AI can build a listing in five seconds — though the app’s smartest tools are still coming.

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luved is a new curated preloved marketplace for the uae

Secondhand shopping has become mainstream in the UAE, but the experience is still scattered across resale sites, social media and informal group chats. LUVED, a mobile-first marketplace that launched in Dubai this month, is betting it can pull that activity into one place — and that the thing buyers and sellers actually want is not more inventory, but trust.

The app trades in what it calls circular luxury: preloved fashion and lifestyle pieces across men’s, women’s and children’s categories, bought, sold or given away peer to peer. Its main pitch is economics, with sellers keeping 100 percent of every sale under a zero-commission, fast payout model, while buyers are promised vetted pieces at lower prices.

Where LUVED is staking its reputation is verification. Sellers pass a KYC check, and items run through a two-layer authentication system powered by Entrupy that pairs instant AI screening with human expert review for high-value pieces. Authenticity certificates travel with each item, payments sit in escrow, and a buyer-protection package the company calls The Safety Net adds a 48-hour return window and dispute resolution. Door-to-door logistics removes the in-person meetups that make most resale deals awkward.

An in-app assistant called Luvbot — offering selling insights and demand-based recommendations — is soon to be introduced to the platform. Other features include autofill and dynamic pricing that lets users build a listing in as little as five seconds from three photos, plus a swipe-based feed, story-style drops and in-app chat in English and Arabic. Finally, a gifting layer, Luved & Gifted, lets users pass items to others inside the app rather than sell them.

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“After moving to Dubai, I saw how difficult it was to sell or even give things away,” says founder and CEO Shaima Sibtain. The friction is real, and so is the competition. In resale, trust is won transaction by transaction — and that is the test LUVED has set itself.

The app is live on the App Store now, with Google Play to follow. The company also plans to expand across the region, which will be the real test for a marketplace staking everything on trust.

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