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Published on in Vol 4 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/64624, first published .
Elderly man with headphones on looking at smartphone at desk

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

Exploring Speech Biosignatures for Traumatic Brain Injury and Neurodegeneration: Pilot Machine Learning Study

Journals

  1. Sun L, Tseng C, Lin K, Chen P. Hybrid preprocessing and ensemble classification for enhanced detection of Parkinson's disease using multiple speech signal databases. DIGITAL HEALTH 2025;11 View
  2. Perchoux C, Topalian N, Klein S, Chaix B, Tharrey M, Röcke C, Gerber P, Klein O, Missling A, Omrani H, Helbich M, Van Dyck D, Kestens Y, Dijst M, Fagherazzi G. Geographic environments, daily activities and stress in Luxembourg (the FragMent study): a protocol combining map-based questionnaires, geographically explicit ecological momentary assessment and vocal biomarkers of stress. BMJ Open 2025;15(9):e105499 View
  3. Kanti Dash T, Mahapatra S, Panda G. Silent Cues for Non-Intrusive Speech Quality and Intelligibility Evaluation. IEEE Access 2026;14:18685 View
  4. Vecchiato M, Ponte F, Zanardo E, Palermi S, Bazo M, Neunhaeuserer D, Ermolao A, Bressan S, Baioccato V. Artificial intelligence applications in sport-related concussion: an updated scoping review. Journal of Science and Medicine in Sport 2026 View