While the importance of rescue breathing cardiopulmonary resuscitation (RB-CPR) in pediatrics has long been recognized, its implementation declined during the COVID-19 pandemic. However, its impact on the survival of pediatrics with out-of-hospital cardiac arrest (OHCA) remains unknown. Now, researchers from the Okayama University revealed that a decline in RB-CPR is associated with an increased death rate, highlighting the importance of rescue breathing in pediatrics and the need for better training and public awareness.

A new white paper: “From Knowledge to Solutions: Science, Technology and Innovation in Support of the UN SDGs”, published in the open-science scholarly journal Research Ideas and Outcomes (RIO), brings together leading voices from Europe’s biodiversity and data science communities to deliver a clear message: protecting biodiversity is not just an environmental issue. It is essential for food security, public health, climate stability, and the global economy. The authors make a call for a decisive shift: from fragmented initiatives to a holistic, global approach to biodiversity research and policy.

Depression is often linked to changes in facial expressions. However, the link between mild depression, known as subthreshold depression, and changes in facial expressions remains unclear. Now, researchers have investigated whether subthreshold depression shows changes in facial expressions in Japanese young adults using artificial intelligence. The findings reveal distinct muscle movement patterns related to depressive symptoms which may help detect depression early, paving the way for timely and preventative mental health care.

Taste receptors are specialized proteins that facilitate the sense of taste. There are different groups of receptors for detecting different tastants. Understanding the structure of these receptors will help in elucidating their function. 25 different bitter taste receptors have been identified to date, out of which the 3D crystal structures of only three have been characterized. In this study, the researchers use an artificial intelligence-based structure prediction model to characterize the structure of these receptors.