Article
Integrating Neuromorphic Computing and Clinical Biomarkers for Enhanced Liver Disease Detection
2026-08-31
Abstract excerpt
<title>Abstract</title> <p>Liver diseases should be detected at an early stage and accurately to avoid the development of cirrhosis, liver failure, and permanent hepatocellular damage. Nevertheless, the current diagnostic models are based on computationally intensive machine learning models which are not real-time, interpretable, and do not support low-power clinical environments. The paper presents a neuromorphi...
Identifiers and source
- Literature Corpus work
- efac15ad-3753-5b0d-b57a-10d2cba8fc08
- DOI
- 10.21203/rs.3.rs-10356585/v1
