Research
Changes in the ageing heart may lessen the risk of irregular heartbeats

A team of researchers have discovered that microscopic structural changes in the ageing heart may reduce the risk of irregular heartbeats.
Medically known as arrhythmias, irregular heartbeats become more common with age and can lead to health problems.
But a new study, carried out by Virginia Tech researchers at the Fralin Biomedical Research Institute at VTC, revealed that a tiny gap between heart cells called the perinexus naturally narrows with age – an adaptation that may help stabilise heart rhythm.
The discovery challenges the idea that all age-related changes in the heart are harmful.
“As we get older and cardiac cells get bigger, the body compensates by making electrical communications more robust,” said Steven Poelzing, the James and Deborah Petrine professor at the Fralin Biomedical Research Institute.
“Making sure the communication between cells remains high during ageing appears to occur naturally to keep cardiovascular disease in check.”
Poelzing suggests that the body compensates for an ageing heart by reinforcing the structure between cells to strengthen electrical communication and support the rapid influx of sodium ions that initiate each heartbeat.
Arrhythmias occur when the heart’s electrical signals become too fast, too slow, or disorganised. They affect millions worldwide and can range from harmless to life-threatening, increasing the risk of stroke, heart failure, and sudden cardiac arrest.
The National Heart, Lung, and Blood Institute reports that atrial fibrillation is the most common arrhythmia, affecting more than two million adults in the United States, with numbers expected to rise significantly.
To investigate how structural changes in the heart impact arrhythmia risk, researchers studied young and old guinea pig hearts, using medication to trigger a condition called sodium channel gain of function.
They found that older hearts naturally had a narrower perinexus, which appeared to protect against arrhythmias. However, when this space was artificially widened, older hearts quickly developed irregular rhythms, while younger hearts remained stable.
As heart cells grow larger with age, they adhere more tightly, maintaining electrical stability.
“If you can keep cells nicely packed, you can conceal a lot of age-associated cardiac pathologies,” said Poelzing.
He compared it with a house’s foundation: If the foundation is solid, the structure can tolerate wear and tear elsewhere. But if the foundation is unstable, the whole structure is at greater risk.
From a clinical perspective, Poelzing said this study also sheds light on why arrhythmias can be difficult to detect in ageing patients.
Cardiologists refer to some heart diseases as “concealed” because the body naturally compensates for electrical instability – returning to normal function before a problem can be caught on standard tests. This is why doctors often rely on long-term monitoring to detect arrhythmias before the heart re-stabilises the issue.
An accompanying editorial in JACC: Clinical Electrophysiology commented on the study, describing the delicate “push-and-pull” balance between the perinexus size and electrical activity in the heart. The editorial also highlighted the broader significance of the findings, suggesting that targeting perinexus size could offer new strategies for preventing arrhythmias and improving heart health as people age.
Research
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News
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.”
News
The medicinal power of music therapy in aged care

By Tuned Global
Music in the medicine and research space has proved to have significant therapeutic benefits in aged care, treating conditions including dementia, Parkinson’s disease, PTSD and ADHD. Now, with the evolution of music technology and AI, the potential to heal the mind through music has become even more powerful.
At a recent industry event, three experts sat down to discuss this exciting and complex space and to explore how in trying to bring these treatments to patients or the broader market, the not-so-common intersection of medtech and music surfaces a number of challenges.
Music therapy powered by AI

Felicity Baker
Music therapy itself is not new, and therapists have been delivering such interventions in one-on-one sessions and small groups for decades.
The exciting prospect highlighted during the session was that technology and AI can now enable this at scale and with evidence-based approach.
If more people can gain access to music treatment through technology, there is the potential to decrease medication intake, reduce healthcare costs and improve outcomes.
However, scaling these therapies does introduce new considerations and challenges that traditional clinical settings have not had to face.
Felicity Baker is a music therapist, professor at the University of Melbourne and Founder of Matchplus.ai, a sensor-based AI solution that detects early physiological markers of agitation and delivers personalised music interventions to improve the wellbeing of people living with dementia and other cognitive conditions.
With over three decades of experience in dementia care and music therapy, Baker is leading this project at prototype stage to reduce distress, medication reliance and create a more enabling environment for individuals with cognitive decline.
Having successfully secured USD $1.3m from Google.org (the philanthropic arm of Google LLC) to develop scalable technology, Baker has become one of just 15 recipients worldwide from more than 800 applications.
“We’re using wearables to actually develop algorithms that can predict when someone is going to start wandering or is going to get up and have a fall or hit another resident in the nursing home,” she said.
“We’ve got it down to between five and 15 minutes, so a carer or family member can anticipate that something’s going to happen.”
Baker said using AI to help preempt when to use music was one thing, but then what order the music should come in, what kind of music and how to be sensitive to the specific symptoms of people with dementia created further challenges they continue to work on.
Simone Dalla Bella, co-director of the BRAMS laboratory at the University of Montreal is conducting research focused on rhythm interventions for patients with various disorders, including Parkinson’s disease.

Simone Dalla Bella
The interventions include rhythmic serious games such as Beat Workers, and mobile apps such as BeatMove, developed by the start-up BeatHealth that Dalla Bella co-founded. For example, BeatMove can adjust music tempo to help Parkinson’s patients walk more effectively.
“Imagine that you have music in the background that you chose, and the music is going a bit faster than you, so it motivates you to run a bit faster.
“But then if you’re tired and you slow down, the music will follow you gently as if you were running or walking with a theoretical partner,” he said.
“A clinical trial is currently ongoing in France to test a large group of patients with Parkinson’s who basically take the app outside in a park, they use it, and we are seeing beneficial effects of that kind of intervention.”
Navigating Licensing Challenges
The prospect of music-powered therapy is rather inspiring and life-affirming. Providing outcomes for patients with debilitating conditions in a non-invasive way is certainly a noble cause for academics and entrepreneurs alike to take up.
However, what many might not have considered is how these medical applications acquire and manage music rights.
Virginie Chelles, VP and Global Head of Marketing and Communications for music licensing and technology company Tuned Global, described the complexity facing these innovators.
In working with medical technology clients, Chelles highlighted that while founders deeply understand the science and tech behind their products and projects, they often have no knowledge of music industry operations.
“When it comes to us, there is a whole new industry, being the music industry which has little or no connection with the medical industry, [which in itself also] has a lot of regulation,” she said.
In the medical music space, Tuned Global currently works with MediMusic, a UK startup that uses AI to analyse brain responses and select music for anxiety and pain management.
Companies like MediMusic are obviously performing powerful and important work, but in cases where they are not up to speed on all of the requirements to correctly licence music, they are adding layers of risk to an already compliance-heavy environment.

Virginie Chelles
“They’re dealing with the legal side of medicine in being able to have it delivered in NHS Hospitals in the UK, and going for trials and all that is involved.
“There is a lot of paperwork to do there,” Chelles said.
“But then, if they play the wrong track, [a] track that was not licensed, the business is in trouble.
“[They would be looking at lawsuits], and they wouldn’t be paying the rights to the right people.
“There are master rights, there’s publishing rights. [So they think], ‘How do I do that? How do I find the right tracks?’.”
Often in these kinds of apps, an AI personalisation solution will drive the selection of tracks that resonate with certain patients, so another challenge for medtech clients in knowing the extent of what other tracks they will need access to.
Companies must also consider whether their licenses permit training medical algorithms on music assets.
“Thousands of tracks are released every day, and [if you look at what’s being produced] with AI. It’s even more,” she said.
“Many companies don’t need millions of tracks. If you work on dementia, just working on a back catalogue, like the catalog that makes sense for these people when they were in their 20s.
“For us, it helped us to understand what you need to license the right catalog, rather than millions of tracks, because accessing millions of tracks is a lot of money in storage and in processing.”
Addressing music licensing early in tech development
For medtech companies wanting to leverage music, Chelles was direct about the challenges and decisions they face when they first approach music licensing.
A lot of consideration needs to be made about how much music they need, what kind, whether they need commercial music or production music and more.
When MediMusic first engaged Tuned Global, these considerations presented a big challenge.
“Because licensing music is not a science. It’s not predictable, but we can definitely help,” she said.
Elaborating further, Chelles said that companies tended to be more successful when they addressed music licensing early in development rather than treating it as an afterthought.
“It’s going to take as much time to build the music and the licensing and compliance technology as building your medical device or app or science behind it,”
“Talk to a music expert early on, it can be us, but it can also be entertainment lawyers or licensing specialists that are going to be able to help from the beginning … to just understand what it is about.
“We can also help them to build their business case to pitch to those labels, because this can be quite strategic depending on the label and their current objectives. Making big pitches without understanding them or the broader environment could cost a lot of time and money if they don’t sign you up right away.
“Being able to demonstrate and communicate value in this industry on the industry’s terms is really important for success, so if you can work with people that have these relationships and can engage with them it’s very helpful.”
Working with an established music technology company can help medtech startups navigate label negotiations.
Labels recognise that companies already working with licensing specialists have typically secured funding and understand the commercial requirements.
“[The labels are] like, okay, they are legit, because if Tuned Global can work with them, they already have the funding and they understand what they’re doing,” Chelles said.
Securing licensing agreements is only the first step. Companies then need backend technology to access the actual tracks.
Tuned Global maintains 190 million tracks, with the catalog growing daily. Companies must negotiate separately with both master rights holders (the record labels) and publishers who represent musicians and writers.
Commercialising music therapies
Neither researcher came from a background that prepared them for music industry negotiations. Despite publishing in The Lancet and Nature and securing major medical research grants, Baker found music licensing remained unfamiliar territory.
Dalla Bella received more than $USD 3.5m in European research funding but similarly had no training in navigating music rights.
Startup activity at universities is growing, but this has not always been the case.
Baker noted that while the institutions themselves were very supportive and really wanted to push research innovations into the market, there still exists some commercialisation stigmas among some researchers.
“For some researchers, commercialising your research is kind of almost like a dirty word.
“To them it’s like you’re not being true to the science if you want to actually make a company and do something with this,” she said.
Dalla Bella described how moving from pure research into commercial applications required stepping outside his comfort zone.
“Sometimes in science, we’re very closed, right? We do work just in science, in our niche, we are happy with what we do, but then you have to go beyond your comfort zone to start to work with engineers and start to work with a startup company,” he said.
“[I’ve seen for a lot of people] it took time to build this collaboration, this common language, and to be able to work together. After a certain amount of time, you discover the real potential of doing that.”
The future of AI-powered music therapy in aged care
The medical music technology sector is an exciting and expanding space for aged care.
As more innovators enter the industry, the intersection between healthcare regulation and music licensing will likely require more standardised frameworks and understanding of the complexities so they aren’t bogged down or exposed to complications that could cut their journey to provide care short.
For now, companies navigating both industries must build relationships with experts in each domain.
The medical science may be groundbreaking, but without proper music licensing infrastructure, therapeutic applications cannot reach patients or compensate the artists whose work makes treatment possible.
About Tuned Global
Tuned Global is the leading data-driven cloud and software platform that empowers businesses to integrate commercial music into their apps or launch complete streaming experiences using advanced APIs, real-time analytics, licensing solutions, and customisable white-label apps.
Our turnkey solutions for music, audio, and video — coupled with a broad ecosystem of third-party music tech integrations — make us the most comprehensive platform for powering any digital music project.
We streamline complexities in licensing, rights management, and content delivery, enabling rapid innovation and bringing new ideas to life.
Since 2011, we’ve supported 40+ companies in 70+ countries — across telecom, fitness, media, aviation, and more — to deliver innovative music experiences faster and more cost-effectively. For more information, visit www.tunedglobal.com.
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