Back to search

Article

Conversational Artificial Intelligence-Enabled Molecular Characterization of Sézary Syndrome Reveals Distinct Pathway-Level Alterations Compared with Non-Sézary Cutaneous T-Cell Lymphoma

2026-03-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Sézary syndrome (SS) represents an aggressive leukemic variant of cutaneous T-cell lymphoma (CTCL) with distinct clinical behavior compared with other CTCL subtypes. While prior studies have identified recurrent genomic alterations in CTCL, a systematic pathway-centric comparison between SS and non-SS CTCL remains limited. We applied our conversational artificial intelligenc...

Topics

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

Identifiers and source

Literature Corpus work
535d91d7-5855-5c76-af52-874a92ac365f
DOI
10.64898/2026.03.09.26347970
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.
Conversational Artificial Intelligence-Enabled Molecular Characterization of Sézary Syndrome Reveals Distinct Pathway-Level Alterations Compared with Non-Sézary Cutaneous T-Cell LymphomaDOI 10.64898/2026.03.09.26347970
Select a neighboring publication to make it the new centre.