Software tool to detect Alzheimer’s disease earlier
Researchers have developed software that could help to detect the Alzheimer’s disease in the early stages.
This research has been published online in the Journal of Alzheimer’s Disease.
This software, called as PredictAD, has been developed by researchers from VTT Technical Research Centre in Finland and Imperial College London.
It works on the basis of comparison of the measurements of the patients to those of the other patients in large databases. After comparison, the software shows the patient’s status in the form of index and graphics.
The material used in the software has been compiled by the Alzheimer’s Disease Neuroimaging Initiative in U.S. based on the records of 288 patients with problems of memorizing events and objects. About 50% of them, i.e. 140 patients were then diagnosed with Alzheimer’s disease after 21 months (on average) of the initial measurements.
Researchers have reported that nearly half of the patients could be diagnosed around a year earlier with the disease or nine months after the initial measurements. They said that the accuracy of the predictions was comparable to the clinical diagnosis.
VTT reported that it will spend the next five years in carrying out the test at different memory clinics in Europe. VTT is also considering on to work on other illnesses that cause dementia.
Diagnosing the Alzheimer’s disease in the early stages is important as it may help in slowing down the progression of the disease and could also help in clinical trials.
Jussi Mattila, Hilkka Soininen, Juha Koikkalainen, Daniel Rueckert, Robin Wolz, Gunhild Waldemar, Jyrki Lötjönen, (2012). reported Optimizing the Diagnosis of Early Alzheimer’s Disease in Mild Cognitive Impairment Subjects., DOI. 10.3233/JAD-2012-120934