Machine learning enabled reusable adhesion, entangled network‑based hydrogel for long‑term, high‑fidelity EEG recording and attention assessment
Peer-Reviewed Publication
Updates every hour. Last Updated: 8-Sep-2025 13:11 ET (8-Sep-2025 17:11 GMT/UTC)
Due to their high mechanical compliance and excellent biocompatibility, conductive hydrogels exhibit significant potential for applications in flexible electronics. However, as the demand for high sensitivity, superior mechanical properties, and strong adhesion performance continues to grow, many conventional fabrication methods remain complex and costly. Herein, we propose a simple and efficient strategy to construct an entangled network hydrogel through a liquid–metal-induced cross-linking reaction, hydrogel demonstrates outstanding properties, including exceptional stretchability (1643%), high tensile strength (366.54 kPa), toughness (350.2 kJ m−3), and relatively low mechanical hysteresis. The hydrogel exhibits long-term stable reusable adhesion (104 kPa), enabling conformal and stable adhesion to human skin. This capability allows it to effectively capture high-quality epidermal electrophysiological signals with high signal-to-noise ratio (25.2 dB) and low impedance (310 ohms). Furthermore, by integrating advanced machine learning algorithms, achieving an attention classification accuracy of 91.38%, which will significantly impact fields like education, healthcare, and artificial intelligence.
The Longevity Education Hub is proud to announce the official launch of its Brazilian chapter, marking an important milestone in providing credible, high-quality education in Healthy Longevity Medicine. The flagship course of Longevity Education Hub - the Healthy Longevity Medicine 101, has been fully updated, translated, and recorded in Portuguese by Dr. Fabiano Serfaty and Fernanda Calvo-Fortes.
Singapore’s flagship medical school is doubling down on population health research and technology-enabled solutions to strengthen healthcare systems and prepare tomorrow’s leaders. The School rebrands its Health Services & Systems Research (HSSR) programme to deliver policy-relevant, tech-driven solutions for a healthier Singapore, launching new education pathways to enhance professional capabilities in population health research
Singers appearing in opera singing competitions are typically ranked based on an overall score assigned by the judges. However, it has remained unclear exactly what elements in the singer’s voice contribute to these scores. In a new study, researchers analyzed opera singing recordings to identify the impact of various vocal characteristics and acoustic features on the scores assigned by the judges. Their findings could provide a scientific basis for future vocal training and education.