SCIENCE: A predictive model for diagnosing stroke-related apraxia of speech

The model has high discriminative ability to distinguish between cases with and without AOS (c-index=0.93) and good agreement between observed and predicted probabilities

 

Click here for more details.

Tags: , , ,

Related Post

Redenlab contributes to position paper on advancing digital healthtechnologies for frontotemporal degeneration

  • Posted on 15 May, 2025
    MEDIA RELEASE MELBOURNE, VIC – A major collaborative paper published in Alzheimer’s & Dementia introduces a critical roadmap for the...
    Read more

    Redenlab announces landmark study in collaboration with Queensland Institute of Medical Research

    • Posted on 11 December, 2024
      MEDIA RELEASE Melbourne - December 2024 – Redenlab, a leader in innovative healthcare solutions, has partnered with the Queensland Institute of Medical...
      Read more

      Expanding the phenotype of Kleefstra syndrome: speech, language and cognition in 103 individuals

      • Posted on 31 March, 2024
        Speech and language impairments are core features of the neurodevelopmental genetic condition Kleefstra syndrome. The speech, language and cognitive profile...
        Read more