Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people.

For gene therapy to work well, therapeutic molecules need to be efficiently delivered to the correct locations in the body—a job commonly given to adeno-associated viruses (AAV).

To improve the AAV’s ability to deliver therapeutics specifically to the lungs and airway, Mass General Brigham researchers developed and applied a new version, called AAV.CPP.16, that can be administered with a nasal spray. In preclinical models, the innovative tool outperformed previous versions by more effectively targeting the airway and lungs and showing promise for respiratory and lung gene therapy. Results are published in Cell Reports Medicine.  

A new study from UBC Okanagan says students appear to be using generative artificial intelligence (GenAI) responsibly, and as a way to speed up tasks, not just boost their grades.

Dr. Meaghan MacNutt, who teaches professional ethics in the UBCO School of Health and Exercise Sciences (HES), recently published a study in Advances in Physiology Education. Published this month, the paper—titled Reflective writing assignments in the era of GenAI: student behaviour and attitudes suggest utility, not futility—contradicts common concerns about student use of AI.