Wearable smart sensors for monitoring human motion have emerged as an active area of research due to their potential applications in healthcare, sports performance, and human–machine interaction. These devices must not only provide accurate sensing capabilities but also be flexible, portable, and comfortable to integrate seamlessly into daily life. Conventional textiles, while widely used, are no longer sufficient to meet the functional demands of contemporary users. As a result, the textile industry is evolving toward functionalization and intelligence, with smart fabrics gaining increasing attention.

The research team of Professor Kyoungjae Lee of the Department of Statistics at Sungkyunkwan University, through joint research with Professor Won Chang of Seoul National University and Professor Xuan Cao of the University of Cincinnati, developed Bayesian inference for the hidden dependence structures of multi-group high-dimensional data.

People often say that seeking psychiatric care can feel intimidating. Patients may feel burdened when they first open up about their emotional distress, while medical staff must accurately understand a patient’s extensive history and symptoms within limited consultation time. Korean researchers have developed artificial intelligence (AI) technology that supports the initial psychiatric interview process, the first step in psychiatric care.

A research team has mapped how artificial intelligence is beginning to reshape cardiac arrest care, from early warning and emergency response to cardiopulmonary resuscitation and recovery after survival. By reviewing 114 studies involving more than 9.57 million patients, the study shows that artificial intelligence is most often used to predict cardiac arrest, guide resuscitation decisions, and estimate post-arrest outcomes. The findings suggest that artificial intelligence could become a practical tool for identifying high-risk patients earlier, supporting time-critical decisions during resuscitation, and improving post-arrest care, while also highlighting the need for stronger real-world validation before these tools can be widely adopted in emergency medicine.

Researchers from The University of Osaka have found that the rat brain differs from other mammals in the proportion of upper and deep layer neurons in the cortex. This change likely arises from differences in the timing of signaling pathways during early brain development. Importantly, this identified mechanism may have future applications in regenerative medicine for developmental and neurological disorders.