The recent brain health service in Hong Kong uses AI of retinal imaging to predict the risk of Alzheimer’s disease, advertised as the first of this kind in the world.
The company, longevity-oriented wellness, offers this recent service in cooperation with I-Cognitio Sciences, a company dealing with imaging eye and spin-off from the Chinese University of Hong Kong (CUHK).
What is it about
The service provides a comprehensive assessment of AI -fueled brain health and personalized lifestyle protocols. AI i-Cognitio was developed and approved using about 13,000 DNA DNA images with about 648 patients with Alzheimer’s disease and over 3,000 patients with normal knowledge. IN test Published in Lancet Digital Health Journal in 2022, technology showed an accuracy of 80% to 92% in identifying the risk of Alzheimer’s disease in multi -ethnic data sets from different countries.
In addition, the brain health package provides preventive strategies based on risk profile, lifestyle interventions and medical support, as well as long -term strategies that contain repair supplements and therapies.
Why does it matter
Dementia probably affects one in three people aged 85 and more in Asia and Pacific. In Hong Kong, the tenth population at the age of 70 and older concerns this state, with more than half of the cases attributed to Alzheimer’s disease.
Recent studies have shown that up to 45% of dementia can be prevented or delayed, emphasizing the need for early detection. However, conventional cognitive and structural tests of brain imaging are less true, while very true methods, such as amyloid-pet scanning and cerebrospinal fluid testing, are invasive and less available.
In a study conducted by CUHK, it tried to solve this gap by developing a model based on deep learning, which offers “simple, low, dependent on work, approach to identifying potential patients with Alzheimer’s disease in community conditions with reasonable accuracy and sensitivity.”
Greater trend
The latest research in Australia has delved into Relationship between diseases and volleyball. Using artificial intelligence and a immense set of data from the eye image, he showed how the reduced volleyball thickness is “highly related” to multiple sclerosis and how thinning of the retina is closely related to a number of other neurodegenerative diseases and cardiovascular disorders.
At the beginning of this year, research projects from Japan and South Korea also focused on the eyes to improve the survey of neurodevelopmental disorders. Yonsei University Health System Scientists have demonstrated the employ of AI models to analyze photography of children’s DNA DNA and identify their risk of hyperactivity disorder. In Japan, a researcher with Wassa University Eye tracking technology was used to show how predictable motor stimuli can be used as a potential behavioral marker for early examination of an autism spectrum disorder.
Meanwhile, another research team from CUHK, in cooperation with the Pekin Tongren hospital, recently presented AI generative model for automated eye disease diagnosis. It has also been shown that the model, preferred on a immense ophthalmic database of 3.4 million images, provides for the presence of intracranial tumors from wood images.
On the plate
“Volleyball is a brain extension, and through non-invasive photograph of funds we can detect changes in blood vessels and retinal nerves, which are associated with Alzheimer’s disease. These changes may appear 10-15 years before the symptoms develop, which gives us a critical window for early intervention. This AI model can identify early micronacial changes related to Alzheimer, which cannot be detected by conventional MRE, creating strengthening, tooling tools to strengthen tools, creating a strengthening of tools, creating a strengthening of tools, produce tool reinforcement. Professor of Medicine at CUHK, he said in a media communiqué.