Neurotrauma remains clinically challenging due to heterogeneous biology and evolving injury cascades. Traditional severity-based classifications fail to capture underlying molecular complexity. Neuromics combines genomic, transcriptomics, proteomic, metabolomic, lipidomics, EV-omics, and single-cell technologies into systems framework to enable endotype discovery and AI-driven stratification. We address modelling challenges, promote agent-driven multi-paradigm methods that go beyond steady-state assumptions, and advocate for targeted therapeutics, repositioning neurotrauma care as predictive, mechanism-informed, and personalised clinical management.
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Deshwal et al. (2026) studied this question.
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