This new technology seeks to recognize early-stage Alzheimer's disease

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According to a recent study, a research team is working to create a "dual-mode brain-sensing gadget" that may swiftly and accurately identify Alzheimer's disease (AD). Hanli Liu, a professor of bioengineering, will lead the project titled "Digital biomarkers for Alzheimer's Disease with small dual-mode brain sensing," according to UTA (the University of Texas at Arlington).

According to the researcher, we are developing a quick and comfortable method to assess metabolic, hemodynamic, and electrophysiological (MHE) processes in the human brain.

We are able to locate digital neurophysiological indicators thanks to the suggested advancement. They can be utilized to diagnose each patient with Alzheimer's disease accurately and to screen for the early stages of AD if we cross-validate them, she continued.
According to the article, this gadget captures information from dry/wireless electroencephalograms (EEG) and near-infrared (NIR) spectroscopy.
While NIR light is absorbed and emitted by the human cortex during spectroscopy, electrical activity in the brain is a more accurate representation of dynamic cerebral activity during electroencephalography.
According to the study, the multipurpose tool will also gauge numerous aspects of brain function, including cerebral metabolism, cerebral blood volume, cerebral oxygenation, brain oscillation capabilities, functional connection, and neurovascular coupling.

The Alzheimer's Association estimates that more than 6 million people in the United States and
More individuals die from AD than from breast and prostate cancer combined among all forms of dementia. According to the analysis, the cost of AD and other kinds of dementia was $355 billion in 2021 and is projected to increase to more than $1 trillion by 2050.