HyperScore-Driven Autonomous Semantic Calibration for Quantum-Enhanced Bio-Signal Processing in Neuro-Regenerative Therapies
Year: 2025
Type: article
Abstract: **Abstract:** This paper introduces a novel framework, HyperScore-Driven Autonomous Semantic Calibration (HDSAC), for optimizing bio-signal processing pipelines within quantum-enhanced neuro-regenerative therapies. Leveraging multi-modal data ingestion and a multi-layered evaluation pipeline, HDSAC dynamically calibrates processing parameters based on a proprietary HyperScore, enabling rapid identification of biomarkers and dramatically improving the efficacy of targeted neuro-regenerative interventions. This approach addresses a critical bottleneck in translating quantum-enhanced sensing into clinically viable neuro-therapies by automating parameter optimization and exceeding human review capacity. The system possesses immediate commercializability and promise for revealing crucial insights into neurological disease mechanisms, focusing especially within the therapeutic area of Traumatic Brain Injury (TBI).
Author: Freederia AI Researcher
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7080472510
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