A new interactive annotation interface supports a detailed molecular animation of the SARS-CoV-2 life cycle. With this tool, users can interactively explore the data used to create the animation and engage in scientific discourse through comments and questions.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9352081 | PMC |
| http://dx.doi.org/10.1371/journal.pbio.3001731 | DOI Listing |
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Multi-scale multi-object semi-supervised consistency learning for ultrasound image segmentation.
Neural Netw
December 2024
Department of Mechanical Engineering, National University of Singapore, 9 Engineering Drive 1, Singapore 117575, Singapore. Electronic address:
Manual annotation of ultrasound images relies on expert knowledge and requires significant time and financial resources. Semi-supervised learning (SSL) exploits large amounts of unlabeled data to improve model performance under limited labeled data. However, it faces two challenges: fusion of contextual information at multiple scales and bias of spatial information between multiple objects.
View Article and Find Full Text PDFpyAKI-An open source solution to automated acute kidney injury classification.
PLoS One
January 2025
Department of Anaesthesiology, Intensive Care and Pain Medicine, University Hospital Müunster, Müunster, Germany.
Objective: Acute kidney injury (AKI) is a frequent complication in critically ill patients, affecting up to 50% of patients in the intensive care units. The lack of standardized and open-source tools for applying the Kidney Disease Improving Global Outcomes (KDIGO) criteria to time series, requires researchers to implement classification algorithms of their own which is resource intensive and might impact study quality by introducing different interpretations of edge cases. This project introduces pyAKI, an open-source pipeline addressing this gap by providing a comprehensive solution for consistent KDIGO criteria implementation.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
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December 2024
University of Pennsylvania, Philadelphia, PA, USA.
Background: Alzheimer's disease (AD) is the most common neurodegenerative disease, and it is characterized by aggregation of misfolded proteins in the brain. Intraneuronal accumulation of tau pathology form neurofibrillary tangles (NFT) in AD. The assessment of the severity of intraneuronal inclusions holds significance in studying the clinicopathological associations in neurodegenerative diseases.
View Article and Find Full Text PDFBackground: The aggregation of α-synuclein protein, encoded by the SNCA gene, forms Lewy bodies (LBs) in neurons and is a key pathological feature of Lewy body dementia (LBD). Interestingly, the apolipoprotein E gene (APOE), primarily expressed in glial cells, is the strongest genetic modifier for LBD. The ε4 allele of this gene (APOE4) notably increases the risk of LBD.
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University of Michigan Medical School, Ann Arbor, MI, USA.
Background: Identifying markers for increased risk of cognitive change and early Alzheimer's disease (AD) is key to enhancing the effectiveness of treatments. Changes in instrumental activities of daily living, including the complex task of driving, may serve as potential markers to identify older adults at risk of cognitive decline. This study evaluates driving behaviors and associated physiological signals in older adults with and without elevated brain amyloid burden.
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