This article explores how AI, like ChatGPT, challenges traditional educational models, advocating for a philosophical approach to foster adulthood-ready individuals. It critiques exam-oriented methods, highlighting the need for educators to guide students beyond youthful perceptions using insights from the History and Philosophy of Science.

A published study involving University of Cincinnati experts has found significant sex differences in cardiovascular outcomes in patients with kidney failure who are on dialysis. Now the lead author is receiving an award for her work.

The advent of digital education, fuelled by societal shifts and technological progress, represents a paradigm shift in educational practice. This new model promotes equity, quality, sustainability, and collaboration through data-driven approaches and the integration of human and digital elements. Chinese advancements in digital education offer insights for global development, highlighting the importance of scenario-based learning, resource development, and digital literacy. However, the digital education journey must navigate challenges related to data security, privacy, and ethical considerations, ensuring that technological integration aligns with humanistic educational values.

AI-powered apps offering medical diagnoses at the click of a button are often limited by biased data and a lack of regulation, leading to inaccurate and unsafe health advice, a new study found.

McGill University researchers presented symptom data from known medical cases to two popular, representative apps to see how well they diagnosed the conditions. While the apps sometimes gave correct diagnoses, they often failed to detect serious conditions, according to findings published in the Journal of Medical Internet Research. This potentially resulted in delayed treatment.