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Explore how speech analysis can be used as a non-invasive biomarker for monitoring neurodegenerative diseases in this 42-minute workshop presentation from Johns Hopkins University's Center for Language & Speech Processing. Learn about cutting-edge research methodologies that leverage computational linguistics and signal processing techniques to detect and track the progression of neurological conditions through changes in speech patterns. Discover the potential applications of remote speech monitoring technologies in clinical settings, including early detection capabilities, disease progression tracking, and the development of digital health tools for neurodegeneration assessment. Gain insights into the intersection of speech technology, machine learning, and neuroscience research, and understand how these approaches could revolutionize patient care and clinical research in neurodegenerative diseases.
