Back to search

Article

ALADYNOULLI: A Bayesian approach to disease progression modeling for genomic discovery and clinical prediction

2024-09-30

Abstract excerpt

Understanding how disease patterns evolve over a lifetime remains a key challenge in medicine. While electronic health records provide rich longitudinal data, existing models typically analyze each disease in isolation, missing the complex interplay between multiple conditions and genetic factors. Here, we combine longitudinal health records with genetic data to model individual trajectories, using a novel dynamic...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
6b6ea20e-47b7-5cff-a896-639333720a21
DOI
10.1101/2024.09.29.24314557
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
ALADYNOULLI: A Bayesian approach to disease progression modeling for genomic discovery and clinical predictionDOI 10.1101/2024.09.29.24314557
Select a neighboring publication to make it the new centre.