Redefining the way we detect neurodegeneration.
A deep learning neurodegenerative detection system that passively monitors for neurological changes within individuals, non-invasively and continuously over time. By better understanding language and our use of it, we hope to detect Alzheimer’s some 20 years earlier than currently possible.
Tackling a global issue.
Alzheimer’s disease is predicted to overwhelm Medicare and Medicaid by 2028 and will cost more than one trillion dollars annually in the United States by 2050.
Not because it’ll change the world, but because it’s necessary.
Diagnosis of Alzheimer’s is usually made long after onset of the disease, significantly reducing the probability of treatment success. Early detection is the light at the end of the tunnel for millions of sufferers around the world.
By being able to diagnose individuals before symptoms present, we are able to help pharmaceutical companies identify better therapy candidates earlier than ever before.
Knowing what lies ahead sooner means there are more options to prepare for the future. The sooner risk is detected, the more early stage therapies are available to sufferers.
Better life outcomes
Less Alzheimer’s means more time with family and loved ones, reduced stress on support networks, and significant savings for healthcare systems.