Machine Learning to Automate the Visual Interpretation of Chemical Agglutination Tests

Many point-of-care tests rely on visual changes in color, shape, and size to convey results that can be read by the naked eye. One category of such tests is an agglutination test (AT), which relies on the clumping of micro-particles or cells in the presence of a target analyte. Although visual inspection is convenient and fast, it is subjective, prone to errors, and limits decision-making to coars...