AI Technology Predicts Alzheimer’s

Fujifilm and the National Center of Neurology and Psychiatry (NCNP) have just released new research which shows that AI technology could help to predict whether or not someone is likely to get Alzheimer’s disease. By monitoring brain activity, Fujifilm and NCNP say that they are able to predict whether a patient with mild cognitive impairment (MCI) will progress to having dementia within two years with an accuracy of up to 88%.

Alzheimer’s disease is the most common cause of dementia and it is estimated that 55 million people worldwide have the neurological condition that causes loss of memory. As the population ages, it’s expected that by 2050, more than 139 million people will suffer from the life-changing condition Using advanced image recognition technology, Fujifilm and NCNP have developed a way in which they are able to monitor the progression of Alzheimer’s from three-dimensional MRI scans of the brain. Deep learning AI technology monitors the hippocampus and the anterior temporal lobe, two areas highly associated with the progression of Alzheimer’s and detects fine atrophy patterns associated with Alzheimer’s.

An MRI scan of the brain showing the progression of Alzheimer’s 

Atrophy is the progressive degeneration or shrinking of muscle or nerve tissues and in relation to dementia, it takes place in the brain. Two types of common atrophy’s are found in patients with MSmuscle atrophy which causes certain muscles to waste away and cerebral atrophy which is a loss of neurons and connections between neurons. The research shows that when AI technology learns an entire brain, it focuses not just on the two areas usually associated with Alzheimer’s but also on the cerebrospinal fluid (a clear colorless fluid found in your brain and spinal cord) and the occipital lobe which is the visual processing area of the brain

By learning to differentiate between areas of the brain that are less relevant to Alzheimer’s, it is much more likely that a highly accurate prediction can be made about the progression of mild cognitive impairment.


Breakthrough In The Fight Against Alzheimer’s

Eisai Co.,  a company located in Tokyo, and Biogen Inc. in Cambridge, United States, announced positive topline results from the Phase II study with BAN2401, an anti-amyloid beta protofibril antibody, in 856 patients with early Alzheimer’s disease. The study achieved statistical significance on key predefined endpoints evaluating efficacy at 18 months on slowing progression in Alzheimer’s Disease Composite Score (ADCOMS) and on reduction of amyloid accumulated in the brain as measured using amyloid-PET (positron emission tomography).

Study 201  is a placebo-controlled, double-blind, parallel-group, randomized study in 856 patients with mild cognitive impairment (MCI) due to Alzheimer’s disease (AD) or mild Alzheimer’s dementia (collectively known as early Alzheimer’s disease) with confirmed amyloid pathology in the brain. Efficacy was evaluated at 18 months by predefined conventional statistics on ADCOMS, which combines items from the Alzheimer’s Disease Assessment Scalecognitive subscale (ADAS-Cog), the Clinical Dementia Rating Sum of Boxes (CDR-SB) scale and the Mini-Mental State Examination (MMSE) to enable sensitive detection of changes in early AD symptoms. Patients were randomized to five dose regimens, 2.5 mg/kg biweekly, 5 mg/kg monthly, 5 mg/kg biweekly, 10 mg/kg monthly and 10 mg/kg biweekly, or placebo.

Topline results of the final analysis of the study demonstrated a statistically significant slowing of disease progression on the key clinical endpoint (ADCOMS) after 18 months of treatment in patients receiving the highest treatment dose (10 mg/kg biweekly) as compared to placebo. Results of amyloid PET analyses at 18 months, including reduction in amyloid PET standardized uptake value ratio (SUVR) and amyloid PET image visual read of subjects converting from positive to negative for amyloid in the brain, were also statistically significant at this dose. Dose-dependent changes from baseline were observed across the PET results and the clinical endpoints. Further, the highest treatment dose of BAN2401 began to show statistically significant clinical benefit as measured by ADCOMS as early as 6 months including at 12 months.