Early detection of pancreatic cancer through competitive lateral-flow assays and deep learning

Harsh Agrawal, Anmol Rathi, India 13-15

We aim to devise a noninvasive and cheap method to detect pancreatic cancer in its early stages via quantifying the levels of the polyamine spermine present in human saliva via a gold conjugate–based assay. A lateral flow assay integrated with a smart convolutional neural network–based mobile reader aids in the test's results.

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