A machine learning-driven eNose detects ovarian cancer in blood plasma with 97 % sensitivity and specificity, offering a promising biomarker-agnostic approach.
In a development that could transform how scientists study cancer, neurodegeneration and inflammation, researchers have invented a new sensor that enables MRI machines to visualize molecular activity ...
Abstract: For the purpose of tracking environmental changes, urbanization, and natural disasters, change detection in satellite imagery is essential. New developments in deep learning, especially by ...
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