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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
Open publication

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Integrating Neuromorphic Computing and Clinical Biomarkers for Enhanced Liver Disease DetectionDOI 10.21203/rs.3.rs-10356585/v1
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