An intelligent multi-wavelength lighting system was developed and the wavelength and brightness of the lighting system can be adjusted for clinical use by physicians. It is also equipped with several functions such as reminder of lighting, parameter records of use time, lighting brightness and wavelengths. The systems could help the patients adjust the physiological parameters based on the deployment of lighting system. The using lighting parameters would upload to the data base in cloud, and which can compare with the psychological evaluation parameters for treatment physical impact analysis in hospital. With the lighting system, the problem such as poor sleep quality can be greatly improved, and the occurrence probability of mild cognitive impairment and dementia can be deferred.

Based on our long-term accumulated healthy brain image database, we used meta-analysismultivariate analytical algorithms to extract the cognitive biological characteristics of individual subjects. By using machine learning / artificial intelligence algorithms, these features were further calculated for capturing individual cognition according to related brain networks. This biological index could be a potential marker for evaluating individual brain health, cognitive functions,risk for neurodegenerative diseases.

The present technology provides a method for diagnosing Alzheimer＇s disease, including the following steps: detecting a blood sample taken from a human subject suspected of having Alzheimer＇s disease,the biomarker level is selected from G72 protein level, SLC7A11 mRNA expression level,a combination of the two,compared with a preset standard, wherein if the detected biomarker level in the blood sample is higher than the preset standard, the Individual humans are thought to have Alzheimer＇s disease.