AI Analysis May Improve Vaping Cessation Efforts on Social Media
In “Artificial Intelligence for effective communication to promote vaping cessation on social media,” UR CTSI researchers will use natural language processing techniques and deep learning models to identify the key features of high-engagement social media posts related to e-cigarette products.
Research Assistant Liu Earns National Student Employee of the Year Award
Andy Liu, a research assistant for UR CTSI and a senior in the computer science program, won the National Student Employee of the Year (SEOTY) Award for 2024.
Banning Fruity Flavors Did Not Deter Vapers
A UR CTSI-led study shows that most adult vapers did not quit in response to the 2020 FDA flavored e-cig ban – with most people switching to flavors or types of e-cigs not covered by the ban. Study authors advocate for closing loopholes in the policy.
Vaping Linked to Higher Risk of Self-Reported COPD Diagnosis
A new study challenges e-cigarette companies’ claims that vaping is a safe alternative to smoking by demonstrating a link between vaping and higher risk of self-reported chronic obstructive pulmonary disease.