Smart software that can detect cognitive decline before symptoms occur

The technology is based on findings that arterial spin labeling (ASL) is a viable alternative to other metabolic brain imaging techniques for clinical applications including detecting and differentiating between different types of dementia.

The smart standalone software will flexibly accommodate a wide variety of ASL sequences from different MRI venders. Novel artificial intelligence (AI) algorithms will identify the MRI sequences collected, process the data accordingly and output a consistent result in line with that typically used by neuro-radiologists.

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Early dementia detection

“Neuroimaging is amongst the most promising areas of research for early detection of dementia including Alzheimer’s disease. We believe that future treatments could target dementia in its earliest stages, before irreversible brain damage or mental decline has occurred. We hope that by developing smart software that fits into the existing clinical workflow, we will be able to help make this a reality.”

- Sven Haller, MD, Chief Medical Officer

Globally more than 50 million people are living with dementia and, as populations increase, this number is set to rise

Tailored Artificial Intelligence

“Machine learning techniques have been extensively tailored to neuroimaging data to capture their specific spatiotemporal features. We will rely on efficient algorithms to extract information in a way that is intepretableto the clinicians.”