Back to search

Article

Conversational Artificial Intelligence-Enabled Precision Oncology Reveals Context-Specific TGFβ and JAK/STAT Alterations in Pancreatic Cancer

2026-06-12

Abstract excerpt

<h4>Background</h4> Pancreatic ductal adenocarcinoma (PDAC) is characterized by extensive molecular complexity, profound stromal remodeling, and limited responsiveness to systemic therapies. Although gemcitabine-based regimens remain widely utilized, the molecular pathways that influence treatment-associated biological variation are incompletely understood. The TGFβ and JAK/STAT signaling networks are recognized...

Topics

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

Identifiers and source

Literature Corpus work
4ea3cc92-bf33-552c-b722-afdaabf958c3
DOI
10.64898/2026.06.10.26355398
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 Precision Oncology Reveals Context-Specific TGFβ and JAK/STAT Alterations in Pancreatic CancerDOI 10.64898/2026.06.10.26355398
Select a neighboring publication to make it the new centre.