Back to search

Article

RD-Embed: Unified representations of rare-disease knowledge from clinical records

2026-04-04

Abstract excerpt

<h4>ABSTRACT</h4> Rare diseases often present with incomplete, evolving symptoms and signs scattered across clinical notes and coded records, making diagnosis and gene discovery difficult even when genomic data are available. Existing approaches either depend on curated phenotype profiles or use general biomedical language models that are not aligned to rare-disease knowledge, limiting performance in early or amb...

Topics

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

Identifiers and source

Literature Corpus work
a797d35a-6b41-5897-b2b0-df6f0614c378
DOI
10.64898/2026.04.02.26350083
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.
RD-Embed: Unified representations of rare-disease knowledge from clinical recordsDOI 10.64898/2026.04.02.26350083
Select a neighboring publication to make it the new centre.