Methods, Systems, and Devices for Hematologic Morphology Detection and Treatment

Abstract: a method for detecting one or more conditions in a blood sample is disclosed. the method includes (i) receiving cell data from one or more sensors communicatively coupled to the first computing device; (ii) determining via a first machine learning model diagnostic data associated with a first portion of the blood sample, wherein the diagnostic data comprises one or more identifiable parameters associated with blood cells; (iii) receiving an image of a plurality of cells of a second portion of the blood sample; (iv) determining via a second machine learning model, one or more attributes of the plurality of cells; (v) based on the determined one or more attributes of the plurality of cells, updating the one or more of the identifiable parameters; and (vi) retraining the first machine learning model using the updated one or more of the identifiable parameters.

Inventor(s): Jeremy Hammond, James Russell, Heidi Peta, Kayla Carpenter

CPC Classification: G16H30/40 (for processing medical images, e.g. editing)

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