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Explore how artificial intelligence revolutionizes histopathological analysis in neurodegenerative disease research through this 24-minute webinar presented by neuroscientist Anna Barber Janer. Discover the application of convolutional neural networks (CNNs) for automated, unbiased analysis of brain pathology markers in preclinical studies of Alzheimer's and Parkinson's diseases. Learn about the growing societal burden of neurodegenerative diseases and the challenges of traditional manual histological analysis, which is labor-intensive and time-consuming. Understand how AI-powered solutions address these limitations by providing faster, more reliable methods for analyzing complex neuropathological processes including neuronal cell death, neuroinflammation, and aggregate deposition. Examine specific applications of CNN algorithms in detecting Alzheimer's disease markers like amyloid plaque deposition and quantifying dopaminergic cells in Parkinson's disease research. Gain insights into a comprehensive pipeline for training, validating, and implementing CNN-based models using Aiforia®, a commercial cloud-based AI platform, for high-throughput immunohistological analysis in mouse brain samples. Discover how these automated systems provide anatomically localized information without requiring manual annotations, significantly improving efficiency and consistency in preclinical research. Learn from Anna Barber Janer's expertise in viral vector technology, disease modeling, and her current PhD research focusing on Parkinson's disease and multiple system atrophy modeling, including her recent work developing AI-driven pathological analysis methods in collaboration with leading research laboratories.
