Using Speech and Machine Learning in the Diagnosis of Neurological Diseases

Explore the intersection of speech processing, machine learning, and medical diagnostics in this 36-minute conference talk from the Toronto Machine Learning Series. Discover how Assistant Research Professor Laureano Moro-Velazquez and his team at Johns Hopkins University are developing innovative tools for early diagnosis of age-related neurological conditions such as Alzheimer's and Parkinson's disease. Learn about the application of natural language processing and machine learning techniques to analyze speech patterns, autonomic regulation, emotion, executive control, and memory for more accurate and timely assessment of patients' cognitive and physiological states. Gain insights into the potential impact of these precision medicine approaches on improving treatment outcomes and quality of life for an aging population.

Using Speech and Machine Learning in the Diagnosis of Neurological Diseases