Resumen del estudio (idioma original)
genetic profile (e.g., GBA and LRRK2 variants); (ii) combination therapies targeting multiple interconnected hallmarks simultaneously; (iii) development of validated fluid and neuroimaging biomarkers for early-stage patient selection; and (iv) adaptive trial designs that accommodate heterogeneity across the PD population. Integration of computational tools network pharmacology, machine learning, and systems biology with biomarker-defined clinical enrichment will be essential for accelerating repurposed candidates toward meaningful disease © 2026. The Author(s), under exclusive licence to Springer Science+Business
Traducción al español (IA · NME)
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Detalles bibliográficos
- Autores: Dhanush Y, Nizamuddin ND, Neelima S, Kalpana S, Arla KK, Ganesh VS
- Publicado en: Metabolic brain disease
- PMID: 42714656
- DOI: 10.1007/s11011-026-01961-2
