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Findings provide integrated insights into the neurobiological mechanisms underlying AOS and highlight potential directions for further investigation of neurotransmitter-related mechanisms.
TEMPO-HCC represents a paradigm shift from static binary classification toward clinically actionable temporal risk prediction, and provides an auditable evidence chain linking macro-scale radiologic phenotypes to micro-scale histopathologic patterns.
It is suggested that the stacking model holds promise as a noninvasive decision-support tool that may complement, rather than replace, current clinical staging practices, however, integration into clinical workflows requires prospective validation.
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