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INTEGRATION develops a novel platform for cancer surgery that combines near-infrared nanoprobes, 3D-printed brain models, and machine learning to improve tumor boundary visualization. This approach aims to enhance surgical precision and reduce the risk of leaving malignant cells behind.
Cancer surgery often comes down to a crucial question: where does the tumor end, and healthy tissue begin?
One wrong cut can leave malignant cells behind or damage vital functions. INTEGRATION addresses this challenge by combining three cutting-edge approaches into a single preclinical platform: near-infrared-emitting nanoprobes, 3D-bioprinted brain-like models, and machine learning algorithms.
By operating in the underexplored third biological transparency window (NIR-III, 1550-1850 nm), where…
UNIVERSIDAD AUTONOMA DE MADRID
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