Predictive Universal Signatures for Multiple Disease Indications

    公开(公告)号:US20230282305A1

    公开(公告)日:2023-09-07

    申请号:US18019905

    申请日:2021-08-06

    CPC classification number: G16B20/00 G16B40/20 G16H50/70 G16H50/20

    Abstract: Universal signatures represent generalizable features that are informative for generating predictions for different disease activities across different diseases. More specifically, one or more universal signatures are learned from data pertaining to a first disease indication and then applied to generate predictions for a one or more additional disease indications. The implementation of one or more universal signatures is useful for generating predictions for disease indications, such as disease indications involving rare or novel diseases, where it may be infeasible to develop a model due to insufficient training data.

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