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AAN 2024 | Quantifying cutaneous alpha-synuclein to diagnose and differentiate synucleinopathies

Christopher Gibbons, MD, FAAN, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, introduces an AI-driven protein detection algorithm to quantify cutaneous phosphorylated alpha-synuclein for the accurate diagnosis of synucleinopathies. This approach uses high resolution image scanners to digitize skin biopsies, which are then analyzed by AI-supported algorithms to quantify and localize alpha-synuclein. This allows for faster detection and differentiation between synucleinopathy subtypes dependent on the area of the skin in which the alpha-synuclein is deposited. This interview took place at the American Academy of Neurology (AAN) Annual Meeting 2024 in Denver, CO.

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