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UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training.
Comput Med Imaging Graph
March 2025
School of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, 200230, China; Shanghai Artificial Intelligence Laboratory, Shanghai, 200232, China. Electronic address:
Magnetic Resonance Imaging (MRI) has become a pivotal tool in diagnosing brain diseases, with a wide array of computer-aided artificial intelligence methods being proposed to enhance diagnostic accuracy. However, early studies were often limited by small-scale datasets and a narrow range of disease types, which posed challenges in model generalization. This study presents UniBrain, a hierarchical knowledge-enhanced pre-training framework designed for universal brain MRI diagnosis.
View Article and Find Full Text PDFBridging multi-level gaps: Bidirectional reciprocal cycle framework for text-guided label-efficient segmentation in echocardiography.
Med Image Anal
March 2025
School of Biomedical Engineering, Sun Yat-sen University, Shenzhen 518107, China. Electronic address:
Text-guided visual understanding is a potential solution for downstream task learning in echocardiography. It can reduce reliance on labeled large datasets and facilitate learning clinical tasks. This is because the text can embed highly condensed clinical information into predictions for visual tasks.
View Article and Find Full Text PDFAssessing the value of environmental DNA into conservation planning: A case study of freshwater bivalves in France.
J Environ Manage
March 2025
CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Campus de Vairão, Universidade do Porto, 4485-661, Vairão, Portugal; BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, 4485-661, Vairão, Portugal; Institute of Systematics, Evolution, Biodiversity (ISYEB), National Museum of Natural History (MNHN), CNRS, SU, EPHE, UA, CP 51, 57 rue Cuvier, 75005, Paris, France; SPYGEN, 17, rue du Lac Saint-André, Savoie Technolac, 73375, Le Bourget du Lac, Cedex, France.
Environmental DNA (eDNA) is emerging as a valuable tool for generating standardised biodiversity data. Whether used alone or alongside conventional surveys, it is expected that eDNA data can improve conservation planning, but this remains largely untested. Here, we assessed the value of eDNA data for making more robust conservation prioritisation decisions, by comparing errors made when identifying priority areas based on conventional data, eDNA or a combination of both.
View Article and Find Full Text PDFIncorporating Cooking Emissions To Better Simulate the Impact of Zero-Emission Vehicle Adoption on Ozone Pollution in Los Angeles.
Environ Sci Technol
March 2025
NOAA Chemical Sciences Laboratory, Boulder, Colorado 80305, United States.
Despite decades of emission control measures aimed at improving air quality, Los Angeles (LA) continues to experience severe ozone pollution during the summertime. We incorporate cooking volatile organic compound (VOC) emissions in a chemical transport model and evaluate it against observations in order to improve the model representation of the present-day ozone chemical regime in LA. Using this updated model, we investigate the impact of adopting zero-emission vehicles (ZEVs) on ozone pollution with increased confidence.
View Article and Find Full Text PDFOperationalizing Inclusion of Diverse Older Adults in Aging Services Information.
J Appl Gerontol
March 2025
University of Alabama at Tuscaloosa, Tuscaloosa, AL, USA.
As the United States' population ages, it is also becoming more diverse. The country's Older Americans Act requires county-level offices on aging to be both service and information providers. But it is unclear to what extent offices on aging can identify gaps within the aging services information they provide and improve efforts to meet the information needs of diverse older adults.
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