Leveraging proprietary EEG data from previous and future research studies with BRAIN AGE® Brain Health AI
Accelerating clinical trial development and discovering potential novel treatments for neurological, psychiatric and infectious diseases
DiagnaMed Holdings Corp. (“DiagnaMed” or the “Company”) (CSE: DMED) (OTCQB: DGNMF), a healthcare technology company focused on brain health using AI, announces it is expanding the use of its novel BRAIN AGE® Brain Health AI Platform (“BRAIN AGE®”) through leveraging its electroencephalograph (“EEG”) data from research studies and future data collection, and applying it to build a potential drug discovery and clinical research AI platform. EEG provides a real-time readout of brain-wave activity in different brain regions and can measure a drug effect on the brain. BRAIN AGE® has the potential to accelerate patient recruitment for clinical trials, data analysis, drug development go/no-go decisions and new treatment options for neurological, psychiatric and infectious diseases.
BRAIN AGE® Brain Health AI estimates brain age by recording brain-wave activity from multiple brain regions and calculating the data with a proprietary machine-learning model. Certain drugs acting on the brain can generate a consistent EEG effect and produce models useful for developing novel drug analogs1 and potential drug repurposing ideas. In studying the effects of drugs on the brain via EEG, researchers can classify and identify drugs according to their mechanism of action on brain activity.2
Clinical Validation of BRAIN AGE® Brain Health AI Platform
BRAIN AGE® Brain Health AI can assess if a brain is aging more quickly or more slowly than is typical for healthy individuals. Brain age is estimated by collecting neural activity data of the brain with a low-cost and easy-to-use electroencephalogram headset and calculating the data with a proprietary machine-learning model. In addition, BRAIN AGE® Brain Health AI can assess if a person has a healthy brain or is in the early stage of cognitive decline. Brain health is scored by taking a clinically validated assessment for brain resilience, vulnerability and performance functions. Individuals can seek out personalized diagnostics and interventions, such as medication or lifestyle changes, that may help decrease cognitive decline development or progression.
In a first-of-a-kind peer-reviewed paper in Frontiers in Neuroergonomics, titled “Brain-age estimation with a low-cost EEG-headset: effectiveness and implications for large-scale screening and brain optimization”3, BRAIN AGE®, as announced in a press release by Drexel University, Prof. Kounios was quoted regarding the clinical potential of BRAIN AGE®: “It can be used as a relatively inexpensive way to screen large numbers of people for vulnerability to age-related. And because of its low cost, a person can be screened at regular intervals to check for changes over time,” Kounios said. “This can help to test the effectiveness of medications and other interventions. And healthy people could use this technique to test the effects of lifestyle changes as part of an overall strategy for optimizing brain performance.”4
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