Continuous monitoring of biosignals is essential for advancing early disease detection, personalized treatment, and health management. Flexible electronics, capable of accurately monitoring biosignals in daily life, have garnered considerable attention due to their softness, conformability, and biocompatibility. However, several challenges remain, including imperfect skin-device interfaces, limited breathability, and insufficient mechanoelectrical stability. On-skin epidermal electronics, distinguished by their excellent conformability, breathability, and mechanoelectrical robustness, offer a promising solution for high-fidelity, long-term health monitoring. These devices can seamlessly integrate with the human body, leading to transformative advancements in future personalized healthcare. This review provides a systematic examination of recent advancements in on-skin epidermal electronics, with particular emphasis on critical aspects including material science, structural design, desired properties, and practical applications. We explore various materials, considering their properties and the corresponding structural designs developed to construct high-performance epidermal electronics. We then discuss different approaches for achieving the desired device properties necessary for long-term health monitoring, including adhesiveness, breathability, and mechanoelectrical stability. Additionally, we summarize the diverse applications of these devices in monitoring biophysical and physiological signals. Finally, we address the challenges facing these devices and outline future prospects, offering insights into the ongoing development of on-skin epidermal electronics for long-term health monitoring.

- Development of an AI method that enables efficient large-scale model training while protecting personal information with only a single model transmission

- Overcomes previous limitations of computational cost and overfitting… expected to be applied in medical image analysis

- Research results published in Medical Image Analysis, October 2025, a top-tier journal in the field of medical image analysis

A research team led by Associate Professor Tomoya Kataoka at Ehime University, in collaboration with Yachiyo Engineering Co., Ltd., Nippon Koei Co., Ltd., and Wageningen University’s Associate Professor Tim van Emmerik, has developed AI software using deep learning to detect, classify, and track plastics flowing in rivers. The system automatically estimates transport volumes from video data, supporting continuous monitoring and advancing understanding of land-to-sea plastic transport. The findings appear in Water Research.

Recently, Wei Tao Huang Research Team published a groundbreaking study in the journal Research, introducing a multifunctional trimetallic gold–silver–chromium nanocomposite (Au–Ag–Cr NCs). These nanocomposites have been applied in various fields, including multimode and multianalyte sensing, advanced arithmetic and reversible logic operations, and large-scale information security protection. This study not only updates the preparation paradigm of multimetallic nanomaterials but also paves the way for new applications in molecular information technology.

The Japan Science and Technology Agency (JST) will hold the International Symposium focusing on weather controllability from October 30 to 31 in Tokyo and online. Moonshot program members will report on their achievements and top researchers from around the world will give lectures concerning research and development of "weather-control technologies."