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.

These works are owned by Magdalen Medical Publishing (MMP) and are protected by copyright laws and treaties around the world. All rights are reserved.