Ottawa injects another $36M into vaccine injury compensation fund
The federal government has added $36.4 million to a program designed to support people who have been seriously injured or killed by vaccines since the end of 2020.
Researchers from Rutgers University in New Jersey say smartphone sensor data combined with machine learning could detect whether someone is under the influence of marijuana.
The researchers set out to develop a proof-of-concept way to passively detect cannabis use as an alternative to existing detection measures, such as blood, urine or saliva tests. Their findings were published in September in the journal Drug and Alcohol Dependence.
"Adverse effects of acute cannabis intoxication have been reported by young adults, with associated consequences such as poor academic and work performance, and injuries and fatalities due to driving while 'high' on cannabis," the authors wrote in the study.
The authors conducted a study experiment involving 57 young adults who reported using cannabis at least twice a week. The participants were asked to complete three surveys a day over a 30-day period that asked how high they were feeling at a given time, as well as when they had last used cannabis and the quantity consumed. In total, the participants reported 451 episodes of cannabis use.
The participants were also asked to download an app that analyzed GPS data, phone logs, accelerometer data and other smartphone sensors and usage statistics.
When only looking at the time of day, the algorithm was able to accurately detect an episode of cannabis use with 60 per cent accuracy. The smartphone sensor data alone was also able to produce an accuracy rate of 67 per cent.
However, smartphone sensor data combined with time-of-day data resulted in an accuracy rate of 90 per cent.
“Using the sensors in a person’s phone, we might be able to detect when a person might be experiencing cannabis intoxication and deliver a brief intervention when and where it might have the most impact to reduce cannabis-related harm,” said corresponding author and Rutgers professor Tammy Chung in a news release.
The GPS data was the most important dataset when it came to detecting cannabis use. The researchers found that participants would tend to travel shorter distances while they were high. Accelerometer data was the second most important feature, as it can be used to measure body movements.
The researchers say this is the first study to look at how smartphone sensors could be used to detect cannabis intoxication.
Chung and her colleagues were also involved in a similar study from 2018 that investigated whether smartphone data could detect heavy drinking episodes. In that study, they found that an algorithm that measured smartphone-usage patterns, such as screen-on duration, typing speed and time of day, could detect heavy drinking episodes with 91 per cent accuracy.
The federal government has added $36.4 million to a program designed to support people who have been seriously injured or killed by vaccines since the end of 2020.
B.C.’s premier and one of his top lieutenants are pushing back against allegations by the Official Opposition that he covertly commissioned a report into the diversion of safe supply drugs onto the streets.
Arrests have been made after five men were captured on video rampaging through a jewelry store in Toronto, waving weapons and smashing glass display cases.
A Winnipeg man said a single date gone wrong led to years of criminal harassment, false arrests, stress and depression.
Doctors have transplanted a pig kidney into a New Jersey woman who was near death, part of a dramatic pair of surgeries that also stabilized her failing heart.
A new poll suggests the Liberals have not won over voters with their latest budget, though there is broad support for their plan to build millions of homes.
Appointing a trusted person to help with financial obligations can give you peace of mind. In his personal finance column for CTVNews.ca, Christopher Liew outlines the key benefits of naming a confidant to take over your financial responsibilities, if the need ever arises.
A Toronto couple are speaking out about their 'extremely dangerous' experience on board a sinking tour boat in the Dominican Republic last week.
Students at a high school in York Region have been awarded perfect marks on their midterm exams in three subjects – not because of their academic performances however, but because they had no teacher.
A property tax bill is perplexing a small townhouse community in Fergus, Ont.
When identical twin sisters Kim and Michelle Krezonoski were invited to compete against some of the world’s most elite female runners at last week’s Boston Marathon, they were in disbelief.
The giant stone statues guarding the Lions Gate Bridge have been dressed in custom Vancouver Canucks jerseys as the NHL playoffs get underway.
A local Oilers fan is hoping to see his team cut through the postseason, so he can cut his hair.
A family from Laval, Que. is looking for answers... and their father's body. He died on vacation in Cuba and authorities sent someone else's body back to Canada.
A former educational assistant is calling attention to the rising violence in Alberta's classrooms.
The federal government says its plan to increase taxes on capital gains is aimed at wealthy Canadians to achieve “tax fairness.”
At 6'8" and 350 pounds, there is nothing typical about UBC offensive lineman Giovanni Manu, who was born in Tonga and went to high school in Pitt Meadows.
Kevin the cat has been reunited with his family after enduring a harrowing three-day ordeal while lost at Toronto Pearson International Airport earlier this week.