Exploring diagnostics:

Uncovering remarkable clarity in brain disease

At ADMdx, we’re developing diagnostic tools that enable earlier, more accurate identification of neurodegenerative and neuropsychiatric disorders.

Featuring our highly sophisticated machine learning (pattern recognition) technology, our tools work with standard brain images, such as MRI or PET scans, and can also include other types of big data.

CorInsights reports, powered by ADMdx technology, are enabling early and accurate diagnosis for a new standard of care

ADMdx current applications

Alzheimer’s disease and other dementias

Alzheimer’s disease causes progressive loss of memory, judgment, and daily functioning over a period of up to twenty years.

But challenges to diagnosis persist –

Symptoms not detectable in the earliest stages
Several other potential causes of dementia
Patients frequently misdiagnosed even in later, symptomatic stages

ADMdx is using pattern recognition technology to detect characteristic patterns of change to brain structure, function, and physiology that are caused by Alzheimer’s disease and other neurodegenerative diseases.

Our first offering – CorInsights MRI

ADMdx future goals*

Traumatic Brain Injury

Head trauma can cause a cascade like chain of events that if not carefully managed can result in adverse long-term effects.

Common causes of TBI

Chronic Traumatic Encephalopathy

Repeated concussion can lead to the development of Chronic Traumatic Encephalopathy (CTE).

ADMdx is currently applying machine learning advances to understand trauma-related disease progression and to assist in diagnosis and treatment development.

Accumulated effect of CTE

Other disorders

Each is associated with specific regional effects that can be detected using brain imaging.

Brain patterns of individuals who respond to one type of therapy can differ from those who respond to other forms of treatment.

Accumulated effect of CTE

*At ADMdx, our ongoing commitment to developing additional tools for the brain disease diagnostic landscape has our analyses currently being used in pharmaceutical studies for patient selection and treatment effect detection, and being developed for use in clinical care in the following, and other areas.