Amyloid Prediction in Early Stage Alzheimer's Disease Through Speech Phenotyping - PAST Extension

NCT04937959 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 40

Last updated 2022-04-07

No results posted yet for this study

Summary

The primary objective of the study is to evaluate whether a set of algorithms analysing acoustic and linguistic patterns of speech can detect amyloid-specific cognitive impairment in early stage Alzheimer's disease, based on archival spoken or written language samples, as measured by the area under the curve (AUC) of the receiver operating characteristic curve of the binary classifier distinguishing between amyloid positive and amyloid negative arms. Secondary objectives include (1) evaluating how many years before diagnosis of Mild Cognitive Impairment (MCI) such algorithms work, as measured on binary classifier performance of the classifiers trained to classify MCI vs cognitively normal (CN) arms using archival material from the following time bins before MCI diagnosis: 0-5 years, 5-10 years, 10-15 years, 15-20 years, 20-25 years; (2) evaluating at what age such algorithms can detect later amyloid positivity, as measured on binary classifier performance of the classifiers trained to classify amyloid positive vs amyloid negative arms using archival material from the following age bins: younger than 50, 50-55, 55-60, 65-70, 70-75 years old.

Conditions

  • Alzheimer Disease
  • Alzheimer's Disease (Incl Subtypes)
  • Preclinical Alzheimer's Disease
  • Prodromal Alzheimer's Disease
  • Mild Cognitive Impairment
  • Normal Cognition

Sponsors & Collaborators

  • Novoic Limited

    lead INDUSTRY

Principal Investigators

  • Emil Fristed, MSc · Novoic Ltd

Eligibility

Min Age
50 Years
Max Age
85 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2021-01-22
Primary Completion
2022-08-30
Completion
2022-08-30

Countries

  • United States

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04937959 on ClinicalTrials.gov