Longitudinal voice biomarker trajectory modelling for Parkinson's disease severity: domain-adaptive transfer learning on mPower real-world smartphone data - Top-Institutions - MDSpire

Longitudinal voice biomarker trajectory modelling for Parkinson's disease severity: domain-adaptive transfer learning on mPower real-world smartphone data

  • By

  • Deepika Roselind Johnson

  • G. Logeswari

  • July 7, 2026

  • 0 min

Share

Top Institutions in Neurology

Brief introduction explaining scope and methodology.

  • #1

    Sage Bionetworks
    Sage Bionetworks

    Seattle, Washington

    Key Differentiators

    • Neurology

  • #2

    National Institute on Aging
    National Institute on Aging

    Baltimore, Maryland

    Key Differentiators

    • Aging Research

  • #3

    University of Oxford
    University of Oxford

    Oxford, England

    Key Differentiators

    • Neurology

  • #4

    University of Genoa
    University of Genoa

    Genoa, Italy

    Key Differentiators

    • Neurology

  • #5

    Swedish university hospitals
    Swedish university hospitals

    Stockholm, Sweden

    Key Differentiators

    • Endocrinology

Original Source(s)

Longitudinal voice biomarker trajectory modelling for Parkinson's disease severity: domain-adaptive transfer learning on mPower real-world smartphone data

  • by Deepika Roselind Johnson, G. Logeswari

  • July 7, 2026

Related Content

Rethinking white matter–tumor interaction: a tractography based analysis of associations between fractional anisotropy and morphometry in the IFOF and arcuate fasciculus

Differential effects of propofol and dexmedetomidine on explicit and implicit memory after sedation: a retrospective study

Research progress on addictive features and reward circuit mechanisms in non-suicidal self-injury and the feasibility of precision neuromodulation