Back to search

Article

Temporal-deviation-driven community detection uncovers early-warning signals for critical transitions in complex diseases

2026-05-12

Abstract excerpt

Early detection of critical transitions in complex diseases is crucial for timely clinical intervention. However, as patients often provide only a single snapshot, identifying sample-specific early-warning signals (EWS) from a dynamical evolution perspective remains challenging, coupled with high-dimensional noise amplification. Here, we present TD-COM, a framework for detecting personalized EWS of critical transi...

Topics

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

Identifiers and source

Literature Corpus work
73fc27bd-13b8-5916-86b4-b8e6fe4a67ac
DOI
10.64898/2026.05.08.723925
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.
Temporal-deviation-driven community detection uncovers early-warning signals for critical transitions in complex diseasesDOI 10.64898/2026.05.08.723925
Select a neighboring publication to make it the new centre.