Скачать или смотреть SpeechCARE: Advancing Early Detection of Cognitive Impairment through Multimodal ... (Zolnoori)

Title: SpeechCARE: Advancing Early Detection of Cognitive Impairment through Multimodal Speech Processing Algorithms

Presenter: Maryam Zolnoori, Assistant Professor of Health Sciences Research in the School of Nursing, Columbia University

Abstract: Alzheimer disease and related dementia (ADRD) represent a looming public health crisis, affecting one-in-five older adults over age 60. Despite nationwide efforts for timely diagnosis of MCI, more than 50% of these patients remain underdiagnosed and undertreated. This is mostly due to patients’ inability to recognize early symptoms, limited availability of biomarkers (e.g., cerebrospinal fluid), and clinicians’ insufficient time to assess patients for ADRD. These barriers significantly delay diagnosis and negatively affect individuals' daily functioning and quality of life, complicating the healthy aging process. In the new era of increasingly available biomarker diagnostics for neurodegenerative diseases and disease-modifying monoclonal antibody therapies for AD, timely clinical identification is increasingly important. This presentation highlights an innovative speech processing platform, demonstrating how integrating routine patient-clinician communication with electronic health records can address diagnostic challenges, improve early detection of ADRD —ultimately improving patient outcomes.

Bio: Maryam Zolnoori, PhD, is an Assistant Professor at Columbia University School of Nursing with a background in Biomedical Informatics. She has authored 45 publications in high-impact journals, including 30 as first or senior author, demonstrating her leadership in advancing research at the intersection of technology and healthcare. Dr. Zolnoori has received several prestigious awards, including the FDA Center of Excellence in Regulatory Science and Innovation and an Intramural Research Training Award from the Lister Hill National Center for Biomedical Communications at the NIH. She has also been recognized by the Columbia Center of Artificial Intelligence Technology in collaboration with Amazon for her novel work on utilizing speech data for developing risk identification models. Her research focuses on advancing early detection of mild cognitive impairment and addressing healthcare disparities, particularly among racial and ethnic minorities. Her work in this area is supported by the National Institute on Aging (NIA) K99/R00 award, the NIA a2-Collective for AI Technology in Aging, and the Columbia Center for Interdisciplinary Research on Alzheimer’s Disease Disparities (CIRAD). Through collaborations with multidisciplinary teams, Dr. Zolnoori is driving innovative and equitable solutions to improve healthcare outcomes, particularly for patients with cognitive impairment.