Dr. Najim Dehak, an associate professor of electrical and computer engineering at Johns Hopkins University and a leading expert in machine learning and speech processing, recently led a webinar on biosignal-based digital biomarkers for aging. The discussion highlighted the role of speech in understanding age-related declines in functionality and motor systems. Dr. Dehak presented compelling evidence from prior studies that used speech-based biomarkers to detect Parkinson's disease with high accuracy. He also delved into ongoing research using the DementiaBank database to explore speech-based biomarkers for Alzheimer's disease. The webinar underscores the emerging significance of speech as a potential digital biomarker in the study of aging and neurodegenerative conditions.