Altoida Raises $6.3M Series A to Predict Alzheimer's Disease Risk Using Artificial Intelligence, Machine Learning and Augmented Reality - Seite 2

Altoida's product analyzes visuospatial and executive function during complex activities of daily living through a battery of three tests that ask patients to hide and seek virtual objects in a physical space. The company has validated its platform and methodology in more than 12 peer-reviewed journal publications and in more than 200 independent studies. It is currently being used in clinics across the US, Europe and Brazil.

"While we know that early detection of Alzheimer's is the key and leads to better outcomes, only 16% of seniors today receive regular assessments in the US, and this situation becomes more critical as we look at other geographic regions," said Dr. Richard Fischer, Founder & CEO at Altoida. "Today's diagnostic methods are either outdated, costly and invasive, or highly nuanced. We are taking aim at this acute problem with a fast, fun, accurate and scalable AI-driven solution that collects digital biomarkers to predict the onset of Alzheimer's as early as ten years before symptoms appear - we like to call them 'micro errors'. Our software or app is designed to be used by a wide range of healthcare professionals, from primary care physicians (GP's) to neurologists to insurance companies, in order to make early detection accessible to more people around the world with the goal of significantly delaying the onset of MCI due to AD - and resulting in an overall cost reduction."

Taking Aim at the Alzheimer's Disease Epidemic
The number of people living with Alzheimer's disease is rapidly growing. In 2019 alone, Alzheimer's disease and other dementias will cost the nation $290 billion. By 2050, these costs could rise as high as $1.1 trillion. Yet, research shows 1 in 3 dementia cases are preventable if diagnosed before permanent and irreversible brain damage occurs.

Altoida's digital biomarkers harness advances in technology to detect brain changes early in the disease process, helping to accelerate early diagnosis for better clinical outcomes. Using an iPad or a Tablet accelerometer, gyroscope and touch screen sensors, Altoida is able to detect "micro-errors" as both a prognostic and diagnostic digital biomarker. The result is that medical professionals are able to detect Alzheimer's disease in patients 62+ years old between six and ten years prior to the onset of symptoms - and before irreversible damage occurs.