New scanner developed by scientists at the University of Aberdeen could lead to patients receiving fewer surgeries and more individually-tailored...
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A revolutionary imaging scanner developed by scientists at the University of Aberdeen could transform the way breast cancer is diagnosed and treated, potentially reducing the number of surgeries needed and providing more personalized treatment plans. The new technology, known as the Field Cycling Imager (FCI), has been shown to distinguish cancerous tumors from healthy tissue with […] The post New scanner can see ‘previously undetectable’ cancer spread appeared first on Knowridge Science Report.
New scanner developed by scientists at the University of Aberdeen could lead to patients receiving fewer surgeries and more individually-tailored...
A groundbreaking new scanner developed by scientists at the University of Aberdeen could change the way breast cancer is diagnosed and treated,...
WEDNESDAY, Feb. 26, 2025 -- A rapid experimental genetic test can help guide the hands of surgeons as they delicately remove tumors from patients with...
Immune therapy has transformed how cancer is treated, but many tumors continue to evade these treatments, thanks to their resemblance to healthy...
Empa researchers have developed a new 3D tissue analysis for thyroid tumors. This special X-ray technique uses artificial intelligence to enable...
Pancreatic cancer is one of the deadliest cancers worldwide. Only 13% of patients survive for five years or more after being diagnosed. In Ireland...
Kat Timpf revealed she was diagnosed with early-stage breast cancer just hours before giving birth to her first child. Timpf expressed gratitude for...
Scientists at the University of Michigan have discovered a way to predict which kidney cancer patients are more likely to have their cancer come back...
A new paper in the Journal of Breast Imaging, published by Oxford University Press, indicates that breast cancer mortality rates have stopped...
By assessing how "sticky" tumor cells are, researchers at the University of California San Diego have found a potential way to predict whether a...