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Woman excluded from gyms committed to promoting accessible exercise and wellbeing

A woman who used wellness supplier Innerva’s power-assisted exercise equipment to treat her long-term health conditions has become the brand’s exclusive distributor in Ireland.
Martina Calvey, a businesswoman and former teacher and guidance counsellor, is the driving force behind Hello GoodLife Wellbeing, a new company dedicated to rolling out Innerva’s cutting-edge equipment across Ireland.
Ms Calvey is committed to making exercise more inclusive and accessible following her own wellbeing challenges which excluded her from mainstream health and fitness facilities.
The previously active 56-year-old from the West of Ireland was diagnosed with rheumatoid arthritis in 1991, which threatened to confine her to a wheelchair.
Unwilling to accept such a fate, she explored alternative therapies and treatments and eventually discovered Innerva’s power-assisted exercise equipment, which enables users to work passively or actively, with a focus on improving aerobic fitness, muscular strength, balance, flexibility and social wellbeing.
The unique power-assisted nature of Innerva’s machines that provide a full body workout in as little as 30 to 40 minutes for those who need a helping hand to be able to exercise, had a profound impact on Ms Calvey’s health.
With regular use of the equipment her symptoms improved and the condition went into remission for two decades.

Seamus Davitt and Martina Calvey
She has lived with a return of the disease since 2011, however, following a brush with cancer. The arthritis confined her to bed for months, left her unable to walk independently for almost two years, and resulted in her 14th surgery followed by six months of having to use a wheelchair.
Remembering the positive impact of power-assisted exercise years before, Ms Calvey contacted Innerva to bring the solution to Ireland.
With the support of her partner, Seamus Davitt, Ms Calvey has now set up Hello GoodLife Wellbeing.
As the exclusive distributor for Innerva’s power-assisted exercise equipment in Ireland, the pair are committed to making working out accessible to all, regardless of their age or physical limitations.
Ms Calvey understands first hand the challenges faced by individuals who are unable to access traditional gyms and aims to provide a solution through Innerva’s equipment, which is mainly used by older adults and those with long-term health conditions, within the leisure, therapy and rehabilitation, care and retirement sectors.
She said: “There are lots of people like me who can’t access standard gyms, not because we are lazy or disinterested, but because health and fitness clubs aren’t set up to cater for our needs.
“As a former gym user, I felt so excluded when I couldn’t find anywhere to exercise. Discovering Innerva’s power-assisted exercise equipment was life-changing for me, and I want to bring the solution to Ireland to make exercise accessible for everyone.”
Hello GoodLife Wellbeing is not just about supplying equipment. Ms Calvey said it’s also about creating a movement.
She wants to establish hubs across Ireland, where people can engage in inclusive and uplifting exercise experiences that prioritise their physical, social and mental wellbeing.
With Ireland’s ageing population, there is a growing need for specialised fitness solutions and Hello GoodLife Wellbeing is set to support various sectors including leisure, rehabilitation, therapy and care.
David Heathcote, Innerva’s head of business development, commented: “Martina’s inspiring journey is testament to her determination and resilience and the potential of power-assisted exercise to transform lives.
“We’re thrilled to partner with Hello GoodLife Wellbeing to bring our solution to Ireland and make inclusive exercise a reality for everyone.”
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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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