Generating pregnant patient biological profiles by deconvoluting clinical records with electronic health record foundation models.

ABSTRACT: Translational biology posits a strong bi-directional link between clinical phenotypes and a patient's biological profile. By leveraging this bi-directional link, we can efficiently deconvolute pre-existing clinical information into biological profiles. However, traditional computational tools are limited in their ability to resolve this link because of the relatively small sizes of paired clinical-biological datasets for training and the high dimensionality/sparsity of tabular clinical data. Here, we use state-of-the-art foundation models (FMs) for electronic health record (EHR) data to generate proteomics profiles of pregnant patients, thereby deconvoluting pre-existing clinical information into biological profiles without the cost and effort of running large-scale traditional omics studi

SUBMITTER: Seong D 

PROVIDER: S-EPMC11565587 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature