Artificial intelligence is expected to become an e

  • Detail

Artificial intelligence is expected to become an effective prevention tool for Alzheimer's disease

source: OFweek artificial intelligence

recently, scientists have successfully trained a new artificial intelligence algorithm to accurately predict the cognitive decline symptoms leading to Alzheimer's disease

according to the world Alzheimer's disease report 2015, there are about 46.8 million AD patients worldwide. It is estimated that the number of patients will double every 20 years, reaching 74.7 million by 2030 and 130 million by 2050. China has also gradually entered an aging society. At present, the number of dementia patients among the elderly in China has exceeded 10 million, ranking first in the world, and the number of new cases increases rapidly by more than 300000 every year

however, due to the hidden onset of Alzheimer's disease, it is often difficult to find it in the initial stage, and it is often paid attention to when the symptoms are obvious. At present, there is no really effective treatment for this disease

with the development of most films, which now account for more than 40% of the total amount of plastic packaging materials, the role of linear bearing in the human experimental stage of potential Alzheimer's disease treatment in the tension machine has failed. Many researchers are shifting the direction from cure to prevention, which may be the most effective method to fight Alzheimer's disease. Therefore, one of the biggest challenges for Alzheimer's and dementia researchers is to find a way to accurately identify patients with early symptoms of cognitive decline

new research shows that artificial intelligence may be the key to accurately predict potential patients with Alzheimer's disease

at present, there are limited methods to treat Alzheimer's disease, so prevention is very important. Artificial intelligence systems can assist doctors in treatment. With the accurate prediction of artificial intelligence, people can change their lifestyle early, so as to delay the onset of Alzheimer's disease or even stop it completely, said Chakravarty, an assistant professor in the Department of psychiatry at McGill University

blood tests, PET scans, eye tests, genetics and even sniffing tests are common methods to identify early symptoms of cognitive decline, but these methods can not predict them completely and accurately. A new study shows that AI algorithms trained to evaluate various diagnostic data can effectively predict whether a person is in the early stage of the disease and whether they may significantly deteriorate in the areas touched by plastic granulator operation in the next five years

Dr. mallar Chakravarty, a computational neuroscientist at the Institute of Douglas University of mental health, and his colleagues designed a specific algorithm and developed an algorithm using artificial intelligence technology and big data. Through magnetic resonance imaging (MRI), genetics and clinical data learning, the brain of patients at risk of Alzheimer's disease was identified by a single PET scan of amyloid, It can accurately identify the signs of dementia two years before the onset of dementia

the algorithm trains data from more than 800 subjects and combines various biomarkers from MRI imaging to genotype and clinical information. The subjects studied included healthy elderly people and patients with clinically significant Alzheimer's disease. A small number of subjects also provided individual clinical information data for up to six years, so that the algorithm can have a comprehensive understanding of disease progression, which helps the system better predict the trajectory of cognitive decline

we are currently working to test the accuracy of predictions using new data. It will help us improve our forecasts and determine whether we can extend the forecast period. Chakravarty said. With more in-depth study of data, scientists will be able to better identify people at greatest risk of cognitive decline in Alzheimer's disease

in the early stage, researchers believe that the algorithm is effective and accurate. With more data added to the algorithm and a large number of patient training, the artificial intelligence system is expected to become an important tool for clinicians in the preventive treatment of Alzheimer's disease in the future

by using this tool, clinical trials can focus on individuals who are more likely to develop dementia within the time frame of the study, which will greatly reduce the time and cost of these studies. Professor mcgauter and professor of neurosurgery

Servo-Hydraulic Fatigue Testing Machine
Metallographic grinding whee
HV-1000 Micro Hardness Tester
HBRV-187.5STF Hardness Tester
Computer Control Electronic Universal Testing Machine

Copyright © 2011 JIN SHI