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Aging Revolution Summit will explore longevity and ageing populations

A new longevity event, the Aging Revolution Summit, is bringing together some of the top minds in healthcare, business, venture capital, philanthropy, and medical research, to explore health and ageing.
The U.S. population is older today than it has ever been before, with a projected 82 million Americans to be aged over 65 by the year 2050.
As lifespans increase, so do the complexities of caring for an ageing population. To address these pressing issues and chart a course for age-friendly care, Northwell Health hosting the inaugural Aging Revolution Summit taking place both in New York City and online.
Leaders from AARP, MedStar Health, Veterans Affairs, Milken Institute for the Future of Aging and other will be in attendance, exploring innovative age-friendly solutions to improve lives for patients and caregivers.
“Most health care systems are not comprehensibly equipped to handle the growing needs of our aging population. We need to embrace innovation, technology, and new models of care to ensure that seniors can age with dignity and access the support they need to thrive,” said Michael J. Dowling, Northwell’s president and CEO, host of the Summit.
“We hope that this Summit will act as a catalyst for change and provide a space where inspiration ignites action.”
Some of this year’s notable speakers include:
- Staci Alexander, vice president, thought leadership, AARP
- Paurvi Bhatt, president and chief impact officer, Rosalynn Carter Institute for Caregivers (RCI)
- Rev. Malcolm Byrd, pastor and chief impact officer, Mother A.M.E. Zion Church
- Thomas Edes, senior medical advisor, office of geriatrics and extended care, U.S. Department of Veterans Affairs
- Jennie Chin Hansen, former chief executive officer, Milken Institute for the Future of Aging
- Kedar Mate, MD, chief executive officer, Institute of Healthcare
The half-day summit will address key themes including new therapeutics and technologies extending lifespan, the social implications of longevity, support for family caregivers, and care for vulnerable seniors, including senior planning and costs.
Dr. Thomas H. Lee, chief medical officer of Press Ganey, will deliver a keynote address highlighting the critical need for stakeholders across healthcare to diligently build human connection for an ageing population by harnessing the power of social networks.
“To truly care for an aging population, we must cultivate genuine human connection – at the bedside and beyond. Social networks, in their broadest sense, are not merely tools, but essential pathways to combat isolation and nurture the well-being of our older patients,” said Dr. Lee.
The event will take place on on December 3. To register, go to www.agingrevolution.com.
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AI can predict Alzheimer’s with almost 93% accuracy, researchers say

Alzheimer’s AI can predict the disease with nearly 93 per cent accuracy using more than 800 brain scans, researchers say.
The system identified anatomical changes in the brain linked to the onset of the most common form of dementia, a condition that gradually damages memory and thinking.
The findings build on years of research suggesting AI could help spot early Alzheimer’s risk, predict disease and identify patients whose condition has not yet been diagnosed.
Benjamin Nephew, an assistant research professor at the Worcester Polytechnic Institute in Massachusetts, said: “Early diagnosis of Alzheimer’s disease can be difficult because symptoms can be mistaken for normal ageing.
“We found that machine-learning technologies, however, can analyse large amounts of data from scans to identify subtle changes and accurately predict Alzheimer’s disease and related cognitive states.”
The study used MRI scans, a type of detailed brain imaging, from 344 people aged 69 to 84.
The dataset included 281 scans showing normal mental function, 332 with mild cognitive impairment, an early stage of memory and thinking decline, and 202 with Alzheimer’s.
The scans covered 95 of the brain’s nearly 200 distinct regions and used an AI algorithm to predict patients’ health.
Being able to use AI to help diagnose Alzheimer’s earlier could give patients and doctors crucial time to prepare and potentially slow the progression of the disease.
The analysis showed that one of the top predictive factors was brain volume loss, or shrinkage, in the hippocampus, which helps form memories, the amygdala, which processes fear, and the entorhinal cortex, which helps provide a sense of time.
This pattern held across age and sex, with both men and women aged 69 to 76 showing volume loss in the right part of the hippocampus, suggesting it may be an important area for early diagnosis, the researchers noted.
However, the research also found that the way brain regions shrink differs by sex.
In females, volume loss occurred in the brain’s left middle temporal cortex, which is involved in language and visual perception. In males, it was mainly seen in the right entorhinal cortex
The researchers believe this could be linked to changes in sex hormones, including the loss of oestrogen in women and testosterone in men.
These conclusions could help improve methods of diagnosis and treatment going forward, Nephew said.
More than 7.2m Americans are living with Alzheimer’s, according to the Alzheimer’s Association.
More research is being done to reveal other impacting factors.
Nephew said: “The critical challenge in this research is to build a generalisable machine-learning model that captures the difference between healthy brains and brains from people with mild cognitive impairment or Alzheimer’s disease.”
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