Skip to content
Customize Consent Preferences

We use cookies to help you navigate efficiently and perform certain functions. You will find detailed information about all cookies under each consent category below.

The cookies that are categorized as "Necessary" are stored on your browser as they are essential for enabling the basic functionalities of the site. ... 

Always Active

Necessary cookies are required to enable the basic features of this site, such as providing secure log-in or adjusting your consent preferences. These cookies do not store any personally identifiable data.

No cookies to display.

Functional cookies help perform certain functionalities like sharing the content of the website on social media platforms, collecting feedback, and other third-party features.

No cookies to display.

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics such as the number of visitors, bounce rate, traffic source, etc.

No cookies to display.

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.

No cookies to display.

Advertisement cookies are used to provide visitors with customized advertisements based on the pages you visited previously and to analyze the effectiveness of the ad campaigns.

No cookies to display.

Gaining on Alzheimer’s: A.I. to the rescue

As many as one in three elderly Americans develop Alzheimer’s Disease. But, until recently, there’s been no way to accurately predict the illness. That means that doctors couldn’t be sure which treatment to try. Now bioscientists at Italy’s University of Bari Aldo Moro have used artificial intelligence to pick out telltale hints of Alzheimer’s in brain scans. The researchers trained the artificial-intelligence program by showing it brain scans of 67 brains, 38 of which were confirmed as having Alzheimer’s. After understanding the difference between a healthy brain and an afflicted one, the program spotted Alzheimer’s brains correctly in 86 percent of cases. The AI program focused on two Alzheimer’s characteristics: the build-up of “sticky” protein plaques and tangles of nerve strands, both of which prevent brain cells from communicating with each other. But what if Alzheimer’s could not only be diagnosed early, but also halted? A Washington University team of scientists may have taken a big step toward that goal. Alzheimer’s is characterized by two proteins in the brain. One, called “tau,” stabilizes nerve-cell structure in healthy brains. In Alzheimer’s, however, tau proteins tangle. The other protein, called B-amyloid, clots and forms plaque in Alzheimer’s brains that confuses messages among brain cells. The two proteins conspire to do the lethal damage that Alzheimer’s is known for, with tau thought to trigger the disastrous effects of B-amyloid. Because people with B-amyloid brain plaque don’t always show signs of the disease, the research team focused on tau – and found a mutant protein called ApoE4, present in 10 percent to 15 percent of people, heightened the dangerous actions of tau. Working with mice, scientists found that reducing the amount of ApoE proteins in the brain, especially ApoE4, significantly reduced chances of developing Alzheimer’s symptoms. Although the finding is too new to have led to possible treatment protocols, it suggests a promising direction for more research.