FIBROBLAST GROWTH FACTOR 23 MODULATING COMPOUNDS

    公开(公告)号:US20240384250A1

    公开(公告)日:2024-11-21

    申请号:US18688840

    申请日:2022-09-06

    Abstract: Uses of soluble α-klotho (sKL) to reduce the activity of FGF23 are described. Because FGF23 is implicated in numerous pathologies of humans and other animals, sKL can be used to treat and prevent such pathologies. Other applications of sKL in pharmaceuticals, modulating FGF23 activity, and modulating hypertrophy in cardiac myocytes are described. The disclosure also describes nucleic acids encoding sKL, their complements, vectors for such nucleic acids, and genetically modified organisms containing such nucleic acids.

    SYSTEMS AND METHODS FOR GENERATING HISTORY AND PHYSICAL EXAM NOTES

    公开(公告)号:US20240079105A1

    公开(公告)日:2024-03-07

    申请号:US18460320

    申请日:2023-09-01

    CPC classification number: G16H10/60 G16H50/20

    Abstract: A method for generating a medical record note comprises (i) accessing a corpus of medical documentation for a particular patient; (ii) receiving, at a user interface, chief complaint input indicating a chief complaint associated with the particular patient; (iii) utilizing (a) the chief complaint and (b) at least a portion of the corpus of medical documentation for the particular patient as input to a set of artificial intelligence (AI) modules, the set of AI modules being trained to generate medical record note output in response to medical documentation input; and (iv) generate a medical record note for the particular patient based on output of the set of AI modules.

    SPIROMETRY METHODS TO DIAGNOSE MILD AND EARLY AIRFLOW OBSTRUCTION

    公开(公告)号:US20230263426A1

    公开(公告)日:2023-08-24

    申请号:US18041229

    申请日:2021-08-13

    CPC classification number: A61B5/087 A61B5/091 G16H50/20 G16H20/00

    Abstract: The present disclosure relates to a method of detecting airflow obstruction using one or more novel metrics associated with a spirometry reading for a subject. The method includes obtaining spirometry data from a subject, generating a first measurement curve and a second measurement curve based on the obtained data for the subject, performing at least a first curve-fitting on the first measurement curve using a Least Absolute Residuals algorithm to estimate a function which closely approximates the spirometry data for the subject by minimizing a sum of absolute deviation, determining a first metric that describes a rate of volume increase based on the estimated function, comparing the first metric to one or more threshold values, and determining a presence or absence of airflow obstruction for the subject based on the comparison of the first metric to the one or more threshold values.

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