Data-driven techniques for translational neuroscience and personalized neuro-health
Neurodegenexrative diseases such as Alzheimer's disease and Parkinson's disease are diagnosed most reliably only after substantial, often irreversible, neuronal loss has already occurred, creating an urgent need for quantitative tools that can detect subtle, early, and individual-specific brain changes from neuroimaging data. This review surveys a broad and rapidly evolving toolkit of data-driven techniques for translational neuroscience and personalized neuro-health, organized around four complementary methodological pillars. Throughout, we emphasize how these methodologically diverse approaches converge on a common translational goal: personalized, mechanistically grounded, and clinical...
| Authors | Vishal Subedi, Shashipraba N. K. Rajakaruna, Pratyusha Sarkar et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 13 August 2026 |
| Last updated at source | 13 August 2026 |
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