Non-Invasive Blood Glucose Prediction by Neural Network Based on Implicit HbA1c

    公开(公告)号:US20250132035A1

    公开(公告)日:2025-04-24

    申请号:US18789797

    申请日:2024-07-31

    Abstract: The NIBG neural network prediction system based on implicit HbA1c of the present invention comprising a neural network configured to predict BG level of a subject based on implicit HbA1c and cardiovascular signal obtained from the subject. In an embodiment, the subject is not undergoing medical treatment that can affect cardiovascular system of the subject and the neural network is trained using training data from training cohort in which each member of the training cohort is not undergoing medical treatment that can affect cardiovascular system of the subject.

    HIGH RESOLUTION TIME-OF-FLIGHT MASS SPECTROMETER AND METHODS OF PRODUCING THE SAME

    公开(公告)号:US20240420944A1

    公开(公告)日:2024-12-19

    申请号:US18701598

    申请日:2022-10-12

    Abstract: Provided herein are designs of a linear time-of-flight (TOF) mass spectrometer that achieves a high mass resolving power (MRP) to ions independently having a mass-to-charge (m/z) ratio between 1,000 and 100,000. The TOF mass spectrometer comprises an ion source, a flight tube, and an ion detector, in which the ion source comprises a sample plate, an extraction plate disposed at a first distance (d1) away from the sample plate; an end plate disposed at a second distance (d2) away from the extraction plate; a first electric field (e1) present between the sample plate and the extraction plate; and a second electric field (e2) present between the extraction plate and the end plate; the flight tube having a length of d3 is disposed downstream and adjacent to the ion source; and the ion detector is disposed downstream and adjacent to the flight tube; and the linear TOF mass spectrometer satisfies the set of criteria I or II, in which the set of criteria I includes (1) d1/L

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