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‘Transformative’ remote heart rehab plans green-lit by NHS

Heart patients will be able to complete rehabilitation at home using online services instead of waiting for face-to-face appointments under new NHS plans.
Six online platforms have been conditionally recommended to the NHS to support adults with cardiovascular disease (CVD) in draft guidance from the National Institute for Health and Care Excellence (Nice).
The programmes include exercise plans, diet advice, medication management and psychological support, with some also using wearable devices to track activity.
The six approved are Activate Your Heart, D REACH-HF, Digital Heart Manual, Gro Health HeartBuddy, KiActiv and myHeart.
CVD is a general term for conditions affecting the heart or blood vessels.
It affects around seven million people in the UK, yet uptake for cardiac rehabilitation programmes remains low despite their ability to reduce further heart problems and hospital admissions, Nice said.
Dr Anastasia Chalkidou, healthtech programme director at Nice, said: “These digital platforms offer real potential to transform how cardiac rehabilitation is offered to people to meet their individual circumstances.
“We know that traditional programmes aren’t reaching everyone who could benefit – particularly women, younger patients and people from ethnic minority backgrounds.”
Before patients can use the online services, they must be assessed by a healthcare professional.
Nice added that more support may be needed for older people, those with disabilities, homeless patients or those whose first language is not English.
The platforms will be used in the NHS for the next three years to generate further evidence and data on their long-term effectiveness.
“The early data is promising and suggests, with safeguards in place, more people should now be given the opportunity to use these new technologies,” Dr Chalkidou added.
This three-year evidence collection period will give us the additional robust data we need to determine whether these innovations should be recommended as a permanent part of cardiac care.”
A consultation on the conditional recommendation is underway and will close on 3 September.
Seven other platforms – Beat Better, Datos Health, Get Ready, Luscii vitals, Pumping Marvellous Cardiac Rehab Platform, R Plus Health and Sword Move – require more research before they can be funded by the NHS, Nice said.
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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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