High prevalence of mental illness and the need for effective mental health care, combined
with recent advances in AI, has led to an increase in explorations of how the field of machine …

Recent advances in AI and machine learning (ML) promise significant transformations in the
future delivery of healthcare. Despite a surge in research and development, few works have …

Machine learning (ML) techniques are increasingly prevalent in education, from their use in
predicting student dropout to assisting in university admissions and facilitating the rise of …

A Facebook Messenger chatbot, Sunny, was designed and deployed to promote positive
social connections and enhance psychological wellbeing. A 10-day study was conducted …

Multiple behaviors typically work together to influence health, making it hard to understand
how one behavior might compensate for another. Rich multi-modal datasets from mobile …

Digital biomarkers can radically transform the standard of care for chronic conditions that are
complex to manage. In this work, we propose a scalable computational framework for …

Although Artificial Intelligence (AI) is notable in education, the studies on its specific
application in university science education are still incipient. At the same time, the research …

Machine learning (ML) techniques are increasingly prevalent in education, from their use in
predicting student dropout, to assisting in university admissions, and facilitating the rise of …

The growing popularity of wearable devices for continuous sensing has made personal
health data increasingly available, yet methods for data interpretation are still a work in …

How might emerging modalities (eg, NLP) be leveraged to transform the provision of
parenting support? To explore the role of AI technologies in supporting parenting behaviour …