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.
Building Better Tools to Predict Kidney Injury in Kids
Expanding on work supported by the UR CTSI KL2 Career Development Program, Adam Dziorny, MD, PhD, is building a tool using artificial intelligence to predict acute kidney injury risk in children and alert health care providers.
Students Research Tobacco User Behaviors Using Social Media Data and AI Technologies Through Data Science Collaboration
A collaboration between UR CTSI and the Goergen Institute for Data Science helps students use data science in their social media research.
Meet Our Latest KL2 Career Development Awardees
Congratulations to the latest cohort of KL2 Career Development Awardees funded by the UR CTSI! This year’s awardees will adapt a behavioral therapy for Deaf individuals, test a new treatment regimen for breast cancer patients with brain metastases, map brain pathways to aid surgery, and use artificial intelligence to support clinical decision making.
UR CTSI Funding Leads to New Grant for Childhood Tooth Decay Prevention App
URMC researchers are building on previous funding from the UR CTSI to develop a smartphone app that can detect and prevent severe tooth decay in underserved kids and improve their overall well-being.