AI & dataIn silico
Unleashing the Power of Digital Voice for Early Symptom Detection for Alzheimer's Disease and Related Dementias
AAIC 2025 Abstract
Abstract
Background: Analysis of digital voice (dVoice) is emerging as an inclusive approach to detecting the earliest preclinical symptoms of Alzheimer's disease (AD) and related dementias (ADRD) because of the widespread penetration of recording devices, such as the smartphone.
The paper
James Glass, Liming Wang, Saurabhchand Bhati, Vijaya B. Kolachalama
Show 12 more authors
Cody Karjadi, Meysam Ahangaran, Mahdi Khemakhem, Ian Wong, Xavier Serrano, Edward Searls, Julia Peterson, Marisa Long, Philip Joung, Vijay Sureshkumar, Rhoda Au, Lampros C. Kourtis,Massachusetts Institute of Technology · Boston University
AAIC 2025 Abstract · 24 Dec 2025 · CC BY
Presented at AAIC 2025
