Seoul National University College of Engineering announced that a research team led by Professor Seung Hwan Ko of the Wearable Soft Electronics Lab, Department of Mechanical Engineering, has developed a wearable electronic device that attaches to the skin like a bandage and enables real-time, continuous monitoring of blood pressure over extended periods.

 

Unlike conventional cuff-based blood pressure monitors that use an inflatable air bladder to apply pressure to the arm, this new technology continuously measures blood pressure with a compact, flexible electronic patch, garnering global attention for its convenience and innovative design.

 

Supported by SNU-Global Excellence Research Center establishment project, this collaborative study was conducted jointly with Carnegie Mellon University (U.S.) and has been published in the online edition of Advanced Functional Materials (Impact Factor 19.0, top 4.9% in JCR for Materials Science).

How can quantum technologies be developed responsibly? In the journal Science, researchers from the Technical University of Munich (TUM), the University of Cambridge, Harvard University and Stanford University argue that international standards should be established before laws are enacted. Prof. Urs Gasser explains why the authors propose a quality management system for quantum technologies, how standards create trust and where even competing countries such as China and the US can cooperate.

Scandium aluminium nitride (ScAlN) has emerged as a promising barrier material for improving the performance of gallium-nitride (GaN)-based high electron mobility transistors (HEMTs). However, current methods for growing ScAlN layers on GaN require expensive equipment and high temperatures. In a new study, researchers investigated how sputtering can be used to successfully grow ScAlN layers on GaN at relatively lower temperatures and reduced costs, paving the way towards commercialization of high-performance ScAlN-based GaN devices.

The accurate estimation of bearing stratum depth, the subsurface soil or rock layer depth that can support a foundation, is key to preventing soil-related disasters in earthquake-prone areas and ensuring a building’s structural safety. However, traditional methods to assess this depth involve high costs, time, and labor. Now, researchers from Japan have demonstrated improved depth prediction accuracy by employing machine learning algorithms, making it both cost-effective and a generalizable alternative to traditional field surveys.

A new type of tissue-engineered cardiac patch could not only seal defective areas of the heart, as has been the case up to now, but also heal them. An interdisciplinary team led by ETH Zurich has successfully implanted the patch in animals.

This review discusses the evolution, challenges, and innovations of antibody-drug conjugates (ADCs) in cancer treatment. It focuses on the importance of precise target selection and engineering to improve efficacy while minimizing off-target toxicities. Recent advances such as pH-dependent antibodies, dual-epitope targeting, and AI-guided profiling are highlighted as promising strategies to enhance safety and therapeutic impact.