AI unlocks new insights in neurodegenerative disease research

Researchers develop an AI-driven, label-free method for studying protein aggregates, offering new perspectives in neurodegenerative disease research. Neurodegenerative diseases such as Alzheimer's, Parkinson's, and Huntington's, are a growing challenge in healthcare, affecting millions globally. They are characterized by a progressive decline in neural function and manifest in a range of debilitating symptoms. And as our lifespans increase, the incidence of neurodegenerative diseases increases with the aging global population. Many neurodegenerative diseases involve the accumulation of misfolded protein aggregates, which are central in the development and progression of diseases such as Alzheimer's, Parkinson's, and Huntington's. But progress and in understanding and treating these diseases is hampered by the current methods of labeling misfolding proteins with fluorescent tags. These approaches are effective to a degree, but they also alter the proteins' biophysical properties, affecting how they interact with other proteins and cellular component.