Radio frequency biosensor with integrated compensation

    公开(公告)号:US12156716B1

    公开(公告)日:2024-12-03

    申请号:US17155485

    申请日:2021-01-22

    Abstract: Data about concentration of one or more types of molecules present within a human body are determined noninvasively using radio frequency (RF) signals. Signals at several different frequencies at very low power levels are emitted using an antenna mounted to a wearable device. Operating values, such as changes to the impedance of the antenna resulting from interaction between the RF signals and the user, are associated with the concentration of one or more types of molecules within the user. These changes in impedance may be relatively small. Circuitry in the device determines internal impedance of the circuitry, compensating for internal impedances and improving overall accuracy of the measured impedance resulting from interaction with the user.

    ASSIGNING PEPTIDES TO PEPTIDE GROUPS FOR VACCINE DEVELOPMENT

    公开(公告)号:US20220383996A1

    公开(公告)日:2022-12-01

    申请号:US17332719

    申请日:2021-05-27

    Abstract: Techniques are described and relate to assigning peptides to peptide groups for vaccine development. In an example, a peptide property of a peptide is determined, where this peptide is from different peptides that are to be assigned to different groups of vaccine. A determination is also made that the peptide is to be assigned to a first group from the different groups based at least in part on the peptide property. The first group has a first group property that is based at least in part on peptide properties of first peptides to be assigned to the first group. The first group property is within a similarity range relative to a second group property of a second group from the different groups. Information is generated and indicates that the peptide is assigned to the first group.

    Temporal-clustering invariance in irregular time series data

    公开(公告)号:US11610126B1

    公开(公告)日:2023-03-21

    申请号:US16447888

    申请日:2019-06-20

    Abstract: Techniques for generating multiple-resolutions of time series data are described. An input irregular time series having a plurality of data points is obtained, each data point of the plurality of data points including a timestamp and a feature vector. Based on the input irregular time series, multiple variant time series are generated. A data point in one of the variant time series is based in part on a combination of at least two data points of the input irregular time series. The multiple variant time series can then be used for machine learning tasks such as training a machine learning model or using a machine learning model to infer an output.

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