Winterlight has developed a tablet-based assessment that is fast, objective, and stress-free. By analyzing speech alone, we can detect cognitive impairment associated with dementia and mental illness. Our assessment can be used in life science research, senior care and clinical settings.
Paper-based cognitive assessments are slow, subjective and often coarse. Winterlight has developed a speech-based cognitive assessment that analyzes short snippets of speech and uses AI to objectively measure cognition via hundreds of vocal biomarkers in speech and language. Winterlight can support clinical trials and studies for a wide range of central nervous system disorders.Work with us
It is challenging to care for seniors with complex medical needs and frequently with cognitive impairments. Combined with your existing health data, we identify seniors at-risk of cognitive or functional decline. Our assessment can help you provide better proactive care at a time when it is most needed to have the greatest impact on the health and happiness of your residents.Reach us here
We are building better tools so that we can identify risk for dementia more quickly and at an earlier age. This will allow researchers to better understand the disease and work towards a cure. If you are healthy and 50 years or older in the Greater Toronto Area, we would like your help on learning the effect of the aging process on the brain.Tell me more
The Wall Street Journal published an article titled "What Your Voice Reveals About You" about the ability of the voice-based AI to identify individuals in the realm of fraud prevention and medicine. Winterlight Labs was featured as an example of speech being used to detect dementia such as Alzheimer’s.Read
Winterlight announced today it is developing vocal biomarkers for monitoring disease progression in frontotemporal dementia (FTD) patients in collaboration with Alector, a biotechnology company developing therapeutics for neurodegeneration.Read
At the 74th Annual Meeting of the Society for Biological Psychiatry, Winterlight is presenting a poster highlighting the use of verbal picture descriptions to predict cognitive status. Using data from 219 individuals who described a picture in their own words, we were able to estimate an individual’s score on the Montreal Cognitive Assessment (MoCA) within 2.6 points (8.7% error).Read
The New York Times published an article which describes how emerging AI technologies might transform patient care, by detecting diseases earlier and indicating whether drug treatments are working in real-time. Winterlight Labs and its technology are featured here to demonstrate the potential of voice analysis in detecting and treating clinical conditions.Read
Winterlight Labs Inc.
Attn: Liam Kaufman
JLABS @ Toronto,
MaRS DD, West Tower
661 University Avenue
Toronto, ON, M5G 0B7