DISEASE OR HEALTH CONDITION EXAMINATION METHOD AND EXAMINATION SYSTEM
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United States of America Patent
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Issued Date -
Oct 3, 2024
app pub date -
Nov 28, 2022
filing date -
Nov 30, 2021
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Abstract
A method examines a disease or health condition based on a biomarker in a biological sample. The method includes extracting the biomarker from the biological sample, ionizing the extracted biomarker, obtaining a three dimensional profile by passing the ionized biomarker between two electrodes and providing the two electrodes with a plurality of electrical signals, and discriminating a predetermined disease using a discriminator obtained by learning the three-dimensional profile and a type of disease in association with each other. The discriminator is a model combining convolutional and recurrent neural networks. The three dimensional profile records current values for each combination of a dispersion field, a compensation voltage, and the type of ion. The discriminator has an interlayer transition that applies the convolutional neural network to a dimension of the compensation voltage and applies the recurrent neural network to a dimension of the dispersion field.
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