Feature Stories
Updates every hour. Last Updated: 19-Nov-2025 15:11 ET (19-Nov-2025 20:11 GMT/UTC)
Hoping to enjoy your holidays? Avoid the sneeze and wheeze triggers
American College of Allergy, Asthma, and ImmunologyFinding solutions to Europe’s skills shortage
University of Warwick- Funder
- EU Horizon programme
New mapping system ends farm mislabeling, protecting coffee and cacao trade
The Alliance of Bioversity International and the International Center for Tropical AgricultureAppropriate diagnosis of COPD can have significant public health impact
American Thoracic SocietyBarry Silverstein ’84 to help lead the future of AR/VR at URochester
University of RochesterAccelerating Access to Inhaled Medicines in Africa: Leveraging the RACE Africa Project
Global Initiative for Chronic Obstructive Lung Disease- Funder
- Global Initiative for Chronic Obstructive Lung Disease (GOLD)
UMaine Ph.D. students develop AI tool to improve breast cancer detection
University of MaineThe Context-Guided Segmentation Network (CGS-Net) developed by University of Maine researchers introduces a deep learning architecture designed to interpret microscopic images of tissue with greater precision than conventional AI models. Powered by a dual-encoder model that mirrors the workflow of a pathologist examining a slide, one branch of the network processes a high-resolution image patch to capture cell-level details, while the other examines a lower-resolution patch encompassing the surrounding tissue. A system of interconnected encoders and decoders uses data from both the high and low resolution images for a complete analysis.
- Journal
- Scientific Reports
- Funder
- NIH/National Cancer Institute, U.S. National Science Foundation
Engineers work to recruit students, narrow US talent gap in semiconductor workforce
Iowa State University- Funder
- U.S. National Science Foundation
Celeritas code sets fast pace for particle physics discoveries
DOE/Oak Ridge National LaboratoryWith powerful new colliders crashing particles at ever-increasing energies, even more daughter particles are produced. The innovative Celeritas project, led by the Department of Energy’s Oak Ridge National Laboratory, provides a software tool that makes sure simulations used to analyze particles can run on the fastest supercomputers, accelerating answers about the nature of the universe.
- Funder
- US Department of Energy Office of Science