Knowledge Center

We believe that knowledge is the foundation of innovation and empowerment. Our mission has always been not only pioneering breakthroughs in the field of detecting cognitive disorders but also sharing our observations, research, and understanding with the broader community.

Screening method for early dementia using sound objects as voice biomarkers

This paper presents a method which diagnoses Alzheimer’s disease and its early stage - MCI - based on six-second recordings of the sustained vowel /a/ spoken by the subject. The main original contribution of this work is the use of carefully crafted features based on so called sound objects.

This approach allows one to first represent the sound spectrum in a more accurate way than the standard spectrum, and then build interpretable features containing relevant information about subjects’ control over their voice. ROC AUC obtained in this work for distinguishing healthy subjects from those with MCI was 0.85, while accuracy was 0.76, proving viability of this method in screening for early dementia.

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Research article | Vivid Mind

Scale, Impact, and Perspectives of Dementia

Published by Alzheimer's Disease International (ADI), this is an annual report providing global information and analyses related to Alzheimer's disease and other forms of dementia.

Published in Lancet by Cleusa A. Ferri and collaborators, this article provides global estimates regarding the prevalence of dementia.

Published in Age and Ageing by E. Jorm i A. Jolley, this is a review of studies on the prevalence and progression of dementia and cognitive impairments in older adults.

Benefits of Early Diagnosis of Dementia and Its Prevention

Published in Lancet by Gill Livingston and collaborators. This article provides a review of studies concerning the prevention, intervention, and care of individuals with dementia.

The article analyzes the global prevalence of dementia in 2019 and forecasts its prevalence for 2050 based on data from the Global Burden of Disease Study 2019.

Detection of Dementia on Voice Recordings Using Deep Learning

Written by J. Hardy and published in Arch Neurology. This is one of the key papers addressing the biological foundations of Alzheimer's disease.

Published in Proceedings of the National Academy of Sciences by A.M. Saunders and others. This article discusses the role of the APOE ε4 allele in the risk of developing Alzheimer's disease, emphasizing its high-avidity binding to beta-amyloid and its increased frequency in late-onset familial Alzheimer's cases.

The article presents the results of a study conducted as part of the Framingham Heart Study, which used deep learning techniques to detect dementia based on voice recordings.

On the Promising Role of Voice as a Biomarker for Dementia

Written by Braak & Braak and published in Acta Neuropathologica. This is a key paper describing the stages of pathological changes in the brains of those suffering from Alzheimer's disease.

Opublikowany w Journal of Neuroscience przez Randy L. Buckner i innych, ten artykuł omawia powiązania między aktywnością domyślną w mózgu a procesami patologicznymi w chorobie Alzheimera.

Published in the Journal of Neuroscience by Randy L. Buckner and others. This article discusses the links between default brain activity and pathological processes in Alzheimer's disease, specifically focusing on the relationship with amyloid accumulation and memory function.