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AI-aided cancer diagnostics in the era of precision medicine

MBZUAI ·

MBZUAI researchers are refining AI techniques to improve cancer diagnosis for colorectal and breast cancer, both common in the Middle East. They are using "few-shot tissue image generation," in which AI generates data for training AI models to recognize lesions, addressing the challenge of limited training data. The developed framework improves the efficiency of radiologists in breast cancer diagnosis, leading to better detection of breast lesions and timely treatment interventions. Why it matters: These advancements in AI-aided diagnostics can lead to earlier and more accurate cancer detection, ultimately improving patient outcomes in the region and beyond.

Sciencetown podcast episode 23 — portable biosensing technologies

KAUST ·

KAUST's Sciencetown podcast episode 23 features researcher Dana Al-Sulaiman discussing portable biosensing technologies for cancer detection. These devices aim to enable liquid biopsies for early screening and personalized treatment. The biosensors gather clinical information from biological samples to inform clinical decisions. Why it matters: This research can advance non-invasive diagnostics and personalized medicine in the region.

KAUST runs for Breast Cancer Awareness

KAUST ·

KAUST held a "Run for a Cure" charity race on October 28 for breast cancer research, with over 425 participants from KAUST and partner organizations. A KAUST Ph.D. student discussed her research on non-invasive early cancer detection using plasma blood samples. The event included 10K, 5K, and 3K runs through KAUST, aligning with Vision 2030's goal of increasing public participation in sports. Why it matters: This event highlights KAUST's commitment to healthcare research, community engagement, and supporting national goals for health and sustainability.