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An AI-Mechanistic Coagulation–Cardiovascular Framework for Reducing Arrhythmia Risk Under Vascular Stress

2026-08-03

Abstract excerpt

<title>Abstract</title> <p> This work presents a self-consistent mechanistic simulation and machine-learning (ML) surrogate demonstration, not a validated biological prediction: ion-channel priors are grounded in real human GEO expression data, but the governing kinetic rate constants are literature-plausible defaults rather than fitted or experimentally validated parameters (see Methods). Within this simulated...

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Literature Corpus work
1fcc7880-a04f-5a54-8186-96b2afc511f0
DOI
10.21203/rs.3.rs-10545064/v1
Open publication

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An AI-Mechanistic Coagulation–Cardiovascular Framework for Reducing Arrhythmia Risk Under Vascular StressDOI 10.21203/rs.3.rs-10545064/v1
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