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Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80094, first published .
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Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Journals

  1. Bhidayasiri R, Phumphid S, Sringean J, Anan C, Laosombut T, Meesri J, Wekhinhiran S, Leabthong N, Phokaewvarangkul O, Surangsrirat D, Vateekul P, Win Z, Jeh-voh N, Panyakaew P, Phuenpathom W, Maytharakcheep S, Jagota P, Ratanasirisawad V, Khongprasert S, Rattanachaisit W, Prasertpan T, Udomsirithamrong O, Phoumindr A, Likhitwitayawuid N, Saengmanee T, Rattanajun P, Horaruengdecha K, Sukmueng N, Dornbunlon P, Sittitrai W, Vorachetbancha S, Chanchalong W, Phonsrithong A, Kullavanijaya P, Sricholwattana J, Chirapravati V, Chariyavilaskul P, Sukpisan K, Thammatacharee J, Limpanyalers A, Juthasong J, Rattanamornsakul W, Bunnag T, Boonrach G. National implementation of a digital Parkinson’s disease screening programme in Thailand: reach, adoption, and real-world performance of the CheckPD app. BMC Public Health 2026;26(1) View
  2. Dutta S, Basu B, Roy S, Roy U. Quantum-classical adaptive autoencoding of time-series signals for secure biometric authentication. Quantum Machine Intelligence 2026;8(2) View