aceDeep Learning-Powered Plasmonic Platform for Decoding Dynamic Protein Aggregation Landscapes in Parkinson's Disease Progression
In-depth characterization of pathological protein aggregate with its subcomponents is pivotal for early diagnosis and staging of neurodegenerative disorders. Here, we introduce the Protein Aggregate NanoDynamics Analyzer (PANDA), a plasmonic nanotechnology-powered system that translates the supramolecular size distribution of protein aggregates into distinct scattering signatures via sterically constrained immunogold clustering. In this work, PANDA enabled the profiling of α-synuclein (α-syn) aggregates with div…
Deep learning-augmented plasmonic system PANDA profiled alpha-synuclein aggregate size distributions from human serum and classified Parkinson's disease stages with correlation to clinical scores and dopaminergic PET imaging.
Evidence
- Peer-reviewedAdvanced Materials2026-09-16
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Truvace Impact Record TRV-2026-1130, v3: “Deep Learning-Powered Plasmonic Platform for Decoding Dynamic Protein Aggregation Landscapes in Parkinson's Disease Progression.” Truvace, 2026-11-04. /record/TRV-2026-1130 (accessed at citation time). sha256 da44aaddb559a8b3…
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Quality review: filed as context; not counted as a gain or a problem. Peer-reviewed study pairing a plasmonic blood-test platform with a deep neural network to stage Parkinson's disease, a
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