Back to search

Article

Automated high-throughput fabrication of patient-specific vessel-on-chips enables a generative AI digital twin—Cascade Learner of Thrombosis (CLoT) for personalized thrombosis prediction

2026-03-05

Abstract excerpt

We developed an integrated platform combining high-throughput automated biofabrication, systematic patient-derived tissue experiments, and specialized artificial intelligence to enable patient-specific computational “digital twins” for thrombosis prediction. Our automated manufacturing platform fabricates 80 fully assembled, patient-specific vessel-on-chips within 10 hours from clinical imaging—a ∼100-fold improve...

Topics

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

Identifiers and source

Literature Corpus work
42f725af-ba2f-5119-8a42-9f6db66fcbe8
DOI
10.64898/2026.03.03.709446
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.
Automated high-throughput fabrication of patient-specific vessel-on-chips enables a generative AI digital twin—Cascade Learner of Thrombosis (CLoT) for personalized thrombosis predictionDOI 10.64898/2026.03.03.709446
Select a neighboring publication to make it the new centre.