Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3928/00220124-20230113-01 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Adaptive ensemble loss and multi-scale attention in breast ultrasound segmentation with UMA-Net.
Med Biol Eng Comput
January 2025
Artificial Intelligence Lab, School of Computer and Information Sciences, University of Hyderabad, Hyderabad, 500046, India.
The generalization of deep learning (DL) models is critical for accurate lesion segmentation in breast ultrasound (BUS) images. Traditional DL models often struggle to generalize well due to the high frequency and scale variations inherent in BUS images. Moreover, conventional loss functions used in these models frequently result in imbalanced optimization, either prioritizing region overlap or boundary accuracy, which leads to suboptimal segmentation performance.
View Article and Find Full Text PDFAssociation Between Patient Safety Culture and Missed Nursing Care in Healthcare Settings: A Systematic Review and Meta-Analysis.
J Adv Nurs
January 2025
College of Nursing, Sultan Qaboos University, Seeb, Oman.
Aim: To appraise and synthesise existing research on the relationship between patient safety culture and missed nursing care.
Design: Systematic review and meta-analysis.
Methods: Peer-reviewed articles published from 2010 onwards were searched from five databases (CINAHL, ProQuest, PubMed, ScienceDirect and Web of Science).
Impact of social isolation during the COVID-19 pandemic on the mental health of university students and recommendations for the post-pandemic period: A systematic review.
Brain Behav Immun Health
February 2025
Postgraduate Program in Human Movement Sciences of the Santa Catarina State University (UDESC), Laboratory of Sport and Exercise Psychology, Florianópolis, SC, Brazil.
Introduction: Investigating the psychological impact caused by the interruption of social interactions on university students during the pandemic is essential, with a view to developing strategies to preserve mental health and academic performance.
Objective: To analyze the impact of social isolation during the COVID-19 pandemic on the mental health of university students and propose recommendations for the post-pandemic period.
Method: This systematic review was conduced in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and was registered in the International Prospective Register of Systematic Reviews (PROSPERO).
Lanthanide Metal-Organic Framework Flowers for Proteome Profiling and Biomarker Identification in Ultratrace Biofluid Samples.
ACS Nano
January 2025
Department of Anesthesiology and Surgical Intensive Care Unit, Xinhua Hospital, School of Medicine and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200030, People's Republic of China.
Identifying effective biomarkers has long been a persistent need for early diagnosis and targeted therapy of disease. While mass spectrometry-based label-free proteomics with trace cell has been demonstrated, deep proteomics with ultratrace human biofluid remains challenging due to low protein concentration, extremely limited patient sample volume, and substantial protein contact losses during preprocessing. Herein, we proposed and validated lanthanide metal-organic framework flowers (MOF-flowers), as effective materials, to trap and enrich protein in biofluid jointly through cation-π interaction and O-Ln coordination.
View Article and Find Full Text PDFDe novo design of peptide binders to conformationally diverse targets with contrastive language modeling.
Sci Adv
January 2025
Department of Biomedical Engineering, Duke University, Durham, NC, USA.
Designing binders to target undruggable proteins presents a formidable challenge in drug discovery. In this work, we provide an algorithmic framework to design short, target-binding linear peptides, requiring only the amino acid sequence of the target protein. To do this, we propose a process to generate naturalistic peptide candidates through Gaussian perturbation of the peptidic latent space of the ESM-2 protein language model and subsequently screen these novel sequences for target-selective interaction activity via a contrastive language-image pretraining (CLIP)-based contrastive learning architecture.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!