Shine Foundation makes dream come true for Halifax teen
Send this page to someone via email
Share this item on Twitter
Share this item via WhatsApp
Share this item on Facebook
It was a dream come true in Halifax as the Shine Foundation helped make a teen's wish a reality.
For Malcom Rainey, being active and playing sports has always been one of his favourite things.
But after surgery last year for hip dysplasia, his physical abilities have declined.
Get breaking National news
For news impacting Canada and around the world, sign up for breaking news alerts delivered directly to you when they happen. Sign up for breaking National newsletter Sign Up
By providing your email address, you have read and agree to Global News' Terms and Conditions and Privacy Policy
The 16-year-old has another hip surgery scheduled for later this year.
The Shine Foundation, which fulfils the dreams of young people with severe physical disabilities, gave Rainey the opportunity to film his very own spy ninja 24-hour YouTube challenge video.
'The challenge day is about re-engaging excitement for activity and the things that he loves and getting him active again,' said Marissa Izma, the foundation's national programs manager.
The 24-hour ninja challenge involves spy-like Nerf gun obstacle courses, dancing and fun mini-games. Rainey's parents say it's heartwarming to see him having fun and living his dream.
Story continues below advertisement
'He's a pretty happy-go-lucky guy and I think that's reflected today,' said his father, Jan Rainey.
For more on this story, watch the video above.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Global News
5 hours ago
- Global News
Some e-bikes are being recalled in Canada due to fall hazard
A recall has been issued for Momentum Vida E+ e-bikes over concerns that a part of the bike could create a fall hazard. Health Canada and Giant Bicycle Canada Inc. are urging Canadians who may own the products to immediately stop using them. The issue surrounds a fork steerer tube that can crack, break or separate during use, causing the user to potentially fall. As of July 22, 2025, the company has received no reports of injuries in Canada. There have been four reports of broken tubes in the U.S., but no injuries have occurred. Get daily National news Get the day's top news, political, economic, and current affairs headlines, delivered to your inbox once a day. Sign up for daily National newsletter Sign Up By providing your email address, you have read and agree to Global News' Terms and Conditions and Privacy Policy A total of 1,446 units of the affected products were sold in Canada and were purchased between September 2019 and June 2025. Another model of Momentum Vida E+ e-bikes recalled by Health Canada and Giant Bicycle Canada Inc. Health Canada Consumers are advised to contact an authorized Giant Bicycle Canada dealer for a free inspection and a fork replacement, if necessary. Story continues below advertisement The e-bikes come in metallic red, pearl white, metallic navy blue, metallic green, indigo blue and happy mint colours. Bikes that have a serial number in which the third character is 'H,' 'J' or 'K' are included in the recall and must have the fork steerer tubes replaced free of charge. The recall notes bikes that have 'G' as the third character in the serial number require an additional visual inspection by an authorized Giant Bicycle dealer to determine fork status.
Global News
5 hours ago
- Global News
McGill University team develops AI that can detect infection before symptoms appear
Researchers at McGill University say they developed an artificial intelligence platform that can predict when someone is about to come down with a respiratory tract infection before they start to feel sick. In what researchers are calling a 'world first,' the study involved participants who wore a ring, a watch and a T-shirt, all of which were equipped with censors that recorded their biometric data. By analyzing the data, researchers were able to accurately predict acute systemic inflammation — an early sign of a respiratory infection such as COVID-19. Published in The Lancet Digital Health, the study says the AI platform can one day help doctors address health problems much earlier than they normally would, particularly in patients who are fragile and for whom a new infection could have serious consequences. It could also potentially reduce costs for the health-care system by preventing complications and hospitalizations. 'We were very interested to see if physiological data measured using wearable sensors … could be used to train an artificial intelligence system capable of detecting an infection or disease resulting from inflammation,' explained the study's lead author, Prof. Dennis Jensen of McGill University's department of kinesiology and physical education. Story continues below advertisement 'We wondered if we could detect early changes in physiology and, from there, predict that someone is about to get sick.' Get daily National news Get the day's top news, political, economic, and current affairs headlines, delivered to your inbox once a day. Sign up for daily National newsletter Sign Up By providing your email address, you have read and agree to Global News' Terms and Conditions and Privacy Policy Jense says the AI model his team created is the first in the world to use physiological measures — including heart rate, heart rate variability, body temperature, respiratory rate, blood pressure — rather than symptoms, to detect a problem. Acute systemic inflammation is a natural defence mechanism of the body that usually resolves on its own, but it can cause serious health problems, especially in populations with pre-existing conditions. 'The whole idea is kind of like an iceberg,' Jensen said. 'Kind of when the ice cracks the surface, that's like when you're symptomatic, and then it's too late to really do much to treat it.' During the study, McGill researchers administered a weakened flu vaccine to 55 healthy adults to simulate infection in their bodies. The subjects were monitored seven days before inoculation and five days after. Participants wore a smart ring, smart watch, and a smart T-shirt simultaneously throughout the study. As well, researchers collected biomarkers of systemic inflammation using blood samples, PCR tests to detect the presence of respiratory pathogens, and a mobile app to collect symptoms reported by participants. In total, more than two billion data points were collected to train machine learning algorithms. Ten different AI models were developed, but the researchers chose the model that used the least amount of data for the remainder of the project. The chosen model correctly detected nearly 90 per cent of actual positive cases and was deemed more practical for daily monitoring. Story continues below advertisement On their own, Jensen said, none of the data collected from the ring, watch, or T-shirt alone is sensitive enough to detect how the body is responding. 'An increase in heart rate alone may only correspond to two beats per minute, which is not really clinically relevant,' he explained. 'The decrease in heart rate variability can be very modest. The increase in temperature can be very modest. So the idea was that by looking at … several different measurements, we would be able to identify subtle changes in physiology.' The algorithms also successfully detected systemic inflammation in four participants infected with COVID-19 during the study. In each case, the algorithms flagged the immune response up to 72 hours before symptoms appeared or infection was confirmed by PCR testing. Ultimately, the researchers hope to develop a system that will inform patients of possible inflammation so they can contact their health-care provider. 'In medicine, we say that you have to give the right treatment to the right person at the right time,' Jensen said. By expanding the therapeutic window in which doctors can intervene, he added, they could save lives and achieve significant savings by avoiding hospitalizations and enabling home management of chronic conditions or even aging. 'In a way, we hope to revolutionize personalized medicine.' This report by The Canadian Press was first published July 30, 2025.
Global News
7 hours ago
- Global News
Ontario plans to double medical isotope production by 2030
See more sharing options Send this page to someone via email Share this item on Twitter Share this item via WhatsApp Share this item on Facebook Ontario plans to double the number of medical isotopes it produces within four years. Energy and Mines Minister Stephen Lecce says the province is creating an expert panel that will accomplish that feat. Get breaking National news For news impacting Canada and around the world, sign up for breaking news alerts delivered directly to you when they happen. Sign up for breaking National newsletter Sign Up By providing your email address, you have read and agree to Global News' Terms and Conditions and Privacy Policy Medical isotopes are made at all three nuclear generators in Ontario and at McMaster University. The province says they produce about 50 per cent of the world's isotopes used to treat head, neck and cervical cancers and to sterilize medical equipment. Medical isotopes are also used to diagnose other types of cancers and in medical imaging techniques. The move is part of the province's pivot to attract life sciences companies and manufacturers, following a $146-million investment in the sector last fall.
