Feature Stories
Updates every hour. Last Updated: 24-Dec-2025 20:11 ET (25-Dec-2025 01:11 GMT/UTC)
2025 was a year of success for Pennington Biomedical, filled with scientific discoveries, impactful new collaborations and strategic new hires
Pennington Biomedical Research CenterOne-button foodborne illness testing for anyone: KIMM develops fully automated integrated diagnostic system
National Research Council of Science & TechnologyA research team led by Senior Researcher Chanyong Park, Principal Researcher Dongkyu Lee, and Postdoctoral Researcher Changha Woo at the Department of Diagnostic Sensors, Daegu-Gyeongbuk Convergence Research Division, Korea Institute of Machinery and Materials (KIMM, President Seog-Hyeon Ryu)—under the National Research Council of Science & Technology (NST, Chairman Young-Shik Kim)—has developed a rapid, fully automated, field-deployable integrated system for foodborne pathogen diagnostics. The system integrates food matrix dissociation, nucleic acid pre-treatment, and molecular diagnostics into a single platform, automatically performing the entire workflow—from pathogen separation and nucleic acid purification to amplification and detection—within one device.
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- Ministry of Science and ICT
Arctic climate action award highlights collaborative research
University of VictoriaUC San Diego is strengthening U.S. semiconductor innovation and workforce development
University of California - San Diego- Funder
- U.S. National Science Foundation, Defense Advanced Research Projects Agency
A Brain Network Disorders study showcases the use of machine learning in improving early diagnosis of neurological disorders
Brain Network Disorders Editorial OfficeAs people age, the brain undergoes multiple changes, increasing the vulnerability to neurological diseases. Early detection of neurological diseases is critical for effective treatment. In a recent study, researchers from China demonstrated that machine learning algorithms integrating imaging, genetic, and clinical data can significantly improve diagnostic accuracy and prediction, enabling timely interventions and better patient outcomes. This approach may transform clinical practice by improving precision, speed, and interpretability in assessing complex brain disorders.
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- Brain Network Disorders
Secret lives of cats could hold clues for wildcat return
AberystwythCelebrating INL’s legacy of innovation
DOE/Idaho National LaboratoryThe Idaho National Laboratory has changed the world for more than 75 years through work in nuclear energy, national security and other innovative technologies. From early nuclear reactor demonstrations to establishing tomorrow’s robust electrical grid, here are 10 of the most impactful INL achievements that benefit our nation and the world:
Military academy alumni reflect on service and leadership at INL ahead of Army-Navy game
DOE/Idaho National LaboratoryThe 2025 Army-Navy college football game kicks off Dec. 13 in Baltimore, Maryland, continuing one of America’s most storied rivalries.
First played in 1890, Army-Navy has endured through wars, peace and generations of cadets and midshipmen. Army-Navy stands apart as more than game — it’s a national tradition that honors service and sacrifice. Every player on the field has taken an oath to defend the nation with their lives. Its traditions embody duty, discipline and respect between rivals who serve the same nation.
Solid-state ionics: Review article reveals structural blueprint for superionic conductors
Advanced Institute for Materials Research (AIMR), Tohoku UniversityA 2024 review by Sau, Orimo, and co-workers reveals universal design principles for fast ion conductors by organizing materials according to their structural frameworks rather than chemical composition. This approach identifies key features—3D interstitial networks, polarizable lattices, cooperative ion motion—that enable solid electrolytes to achieve liquid-like ionic conductivities, advancing all-solid-state battery development.
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- Communications Materials