McGill University researchers have developed an artificial intelligence tool that can detect previously invisible disease markers inside single cells.

In a study published in Nature Communications, the researchers demonstrate how the tool, called DOLPHIN, could one day be used by doctors to catch diseases earlier and guide treatment options.

ChatGPT has not decreased activity on the world’s largest online encyclopaedia, but AI data scrapers and the influence of Large Language Models still cast a shadow over its future research suggests. 

Dr Bianca Moffett at the SAMRC/Wits-Agincourt Unit leads the AfriCAT project, which entails building a first-of-its-kind adaptive testing tool to inform measurement-based mental healthcare for depression and anxiety among adolescents in Africa.

The AfriCAT tool is based on Computerised Adaptive Testing, a novel approach to mental health assessment. Unlike most traditional assessments, which ask a standard set of questions to all users, Computerised Adaptive Tests are based on advanced statistical and machine learning methods, which use a person’s initial responses to select the next best questions. The goal of adaptive testing is to use as few questions as possible while still making an exact assessment, tailored to the individual.

A recent study from the University of Eastern Finland found that poorer performance in mathematics predicts greater mathematics anxiety. The study also suggests that, on average, girls experience more mathematics anxiety than boys.