|Abiant, Inc. 480 West Center Street, Suite 202, Grayslake, Illinois 60030
|Copyright 2006-2010 Abiant, Inc.
The first diagnostic in our development pipeline is focused on the highly predictive, accurate,
identification of Alzheimer's Disease, and its discrimination from other forms of dementia. We are using
methods for automated, precise measurement of the hippocampus and disease-specific pattern
recognition combined with a unique, longitudinally confirmed reference database to overcome hurdles to
reliable, early diagnosis.
Imaging as a Biomarker... Changes in brain activity
and pathology occur before symptoms of Alzheimer's
Diseease are evident, and continue with disease
progression. Neuroimaging of brain activity and structure
can identify these changes, greatly improving over today's
methods. However, it is essential to extract critical
information from the images, and to distill complex data into
interpretable patterns, which current methods do not.
|ABOVE: Normal (left) and patient with
Alzheimer's Disease (right). Red and
yellow indicate higher levels of
glucose metabolism (brain activity).
In Alzheimer's Disease, neuronal
activity decreases in specific regions,
seen as blue (arrow).
The Need... Alzheimer's Disease is a devastating neurodegenerative disorder that affects the lives of
more than 5.5 million people in the United States alone, in addition to their families and caregivers. It is
estimated that 1 in 8 of the 78 million baby boomers today will develop the disease. Currently, disease
confirmation occurs only with a post-mortem exam of the brain. An estimated 50% of Alzheimer's
Disease patients are undiagnosed, and misdiagnosis occurs in at least 20% of cases. Even today,
early diagnosis of Alzheimer's Disease can facilitate prescription of medicines that slow symptom
progression. As promising drugs reach the market, early detection will become vital, since early
intervention is key to impacting this disease, which begins long before symptoms emerge.
Our Solution... We are applying image analysis
technology that has been demonstrated to achieve
unprecedented disease classification accuracies (Mosconi
et al, 2008, 2007). By combining this with our additional
analysis advances and reference data, we anticipate
providing a highly accurate, predictive, adoptable tool for the
diagnosis of Alzheimer's Disease and other dementias.