For many older adults, life is full of routines. Making breakfast, paying bills, shopping, driving, managing appointments and keeping track of medications are tasks done almost automatically. For most, these routines run smoothly, but for some, small disruptions begin to creep in.

These small struggles matter. Perhaps it starts with uncharacteristically forgetting to add an item to the grocery list or misplacing a pair of glasses. Maybe a chequebook gets mismanaged, or a favourite recipe becomes harder to follow.

Read more HERE

Down syndrome represents one of the most well-established genetic risk factors for early-onset Alzheimer disease (AD), with nearly all individuals developing Alzheimer-related neuropathology by midlife. Despite this predictable biological trajectory, variability in clinical presentation, timing of cognitive decline, and comorbid neurologic conditions continues to pose challenges for clinicians managing this population.

Read it all HERE

With cases rising at a rapid clip and expected to double to roughly 15 million US residents by 2060, Alzheimer’s disease (AD) is expected to take a toll on those affected and their families. The global toll of those living with dementia is approximately 55 million, and women are two-thirds of those affected.

Read more HERE

Researchers say they are now able to predict Alzheimer’s disease with close to 93 percent accuracy using artificial intelligence.

More than 800 brain scans helped the AI to identify anatomical changes in the brain that signaled the start of the most common form of dementia, the Worcester Polytechnic Institute in Massachusetts said on Thursday.

The findings follow years of previous research showing that AI could help spot early risk factors for Alzheimer’s, predict risk and identify patients with undiagnosed Alzheimer’s disease.

Read more HERE