Detect changes in neurological and psychiatric symptoms faster, more easily, and more objectively through speech with the help of natural language processing and artificial intelligence.
Disease monitoring in neuroscience is hampered by insensitive clinical scales which may not detect subtle changes in symptoms. By extracting over 550 features of speech and language, Winterlight Labs’ technology can measure fine-grained changes that traditional assessments cannot.
Our features and algorithms can be used in health research to help identify disease, track change over time, monitor disease severity, and detect response to treatment. Winterlight’s technology has been used to study neurodegenerative and psychiatric diseases and disorders, including Alzheimer’s Disease, Mild Cognitive Impairment, Frontotemporal Dementia, Parkinson’s Disease, Depression, Schizophrenia and more.
Speech symptoms in Alzheimer’s disease include changes to the rate and rhythm of speech as well as its content and organization. Winterlight’s technology can be used to quantify these changes in order to detect signs of Alzheimer’s disease, monitor disease progression and measure response to treatments and therapies in clinical trials and other healthcare settings.
Selected speech features that differ in Alzheimer’s disease:
Yeung A., Iaboni A., Rochon E., Lavoie M., Santiago C., Yancheva M., Novikova J., Xu M., Robin J., Kaufman L.D., Mostafa F. (2021)
Alzheimer's Research & Therapy.Read
Balagopalan A., Eyre B., Robin J., Rudzicz F., Novikova J. (2021)
Frontiers in Aging Neuroscience.Read
Robin J., Kaufman L.D., Simpson W. (2020)
Clinical Trials on Alzheimer’s Disease.Read
Fraser K., Meltzer J., Rudzicz F. (2015)
Journal of Alzheimer's Disease, 49(2), 407-422.Read