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Semi-automating abstract screening with a natural language model pretrained on biomedical literature
We demonstrate the performance and workload impact of incorporating a natural language model, pretrained on citations of biomedical literature, on a...
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Community engagement group model in basic and biomedical research: lessons learned from the BEAT-HIV Delaney Collaboratory towards an HIV-1 cure
IntroductionAchieving effective community engagement has been an objective of U.S. National Institutes of Health-funded HIV research efforts,...
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Multifunctional mesoporous silica nanoparticles for biomedical applications
Mesoporous silica nanoparticles (MSNs) are recognized as a prime example of nanotechnology applied in the biomedical field, due to their easily...
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Ethical implications of blockchain technology in biomedical research
Definition of the problemBiomedical research based on big data offers immense benefits. Large multisite research that integrates large amounts of...
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From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights
Graph data models are an emerging approach to structure clinical and biomedical information. These models offer intriguing opportunities for novel...
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Autoethnographic Reflections on Mental Distress and Medication Management: Conceptualising Biomedical and Recovery Models of Mental Health
This article uses autoethnography to explore the author’s lived experiences of mental distress and how she has conceptualised and explained these...
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The biomedical securitization of global health
BackgroundThe COVID-19 outbreak has shifted the course in the global health debate further towards health security and biomedical issues. Even though...
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Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation
The Dice similarity coefficient (DSC) is both a widely used metric and loss function for biomedical image segmentation due to its robustness to class...
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TriConvUNeXt: A Pure CNN-Based Lightweight Symmetrical Network for Biomedical Image Segmentation
Biomedical image segmentation is essential in clinical practices, offering critical insights for accurate diagnosis and strategic treatment...
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New insight into circRNAs: characterization, strategies, and biomedical applications
Circular RNAs (circRNAs) are a class of covalently closed, endogenous ncRNAs. Most circRNAs are derived from exonic or intronic sequences by...
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An in-depth evaluation of federated learning on biomedical natural language processing for information extraction
Language models (LMs) such as BERT and GPT have revolutionized natural language processing (NLP). However, the medical field faces challenges in...
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Multimodal Biomedical Image Segmentation using Multi-Dimensional U-Convolutional Neural Network
Deep learning recently achieved advancement in the segmentation of medical images. In this regard, U-Net is the most predominant deep neural network,...
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Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine
3D data from high-resolution volumetric imaging is a central resource for diagnosis and treatment in modern medicine. While the fast development of...
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The advancement of artificial intelligence in biomedical research and health innovation: challenges and opportunities in emerging economies
The advancement of artificial intelligence (AI), algorithm optimization and high-throughput experiments has enabled scientists to accelerate the...
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Impact and Cost-Effectiveness of Biomedical Interventions on Adult Hepatitis B Elimination in China: A Mathematical Modelling Study
BackgroundChina has one of the highest hepatitis B virus (HBV) disease burdens worldwide and tracking progress toward the 2030 HBV elimination...
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Preliminary guideline for reporting bibliometric reviews of the biomedical literature (BIBLIO): a minimum requirements
BackgroundA bibliometric review of the biomedical literature could be essential in synthesizing evidence if thoroughly conducted and documented....
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Title and abstract screening for literature reviews using large language models: an exploratory study in the biomedical domain
BackgroundSystematically screening published literature to determine the relevant publications to synthesize in a review is a time-consuming and...
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Saving time and money in biomedical publishing: the case for free-format submissions with minimal requirements
BackgroundManuscript preparation and the (re)submission of articles can create a significant workload in academic jobs. In this exploratory analysis,...
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Homoharringtonine: updated insights into its efficacy in hematological malignancies, diverse cancers and other biomedical applications
HHT has emerged as a notable compound in the realm of cancer treatment, particularly for hematological malignancies. Its multifaceted pharmacological...
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Attitudes Toward and Beliefs in the Effectiveness of Biomedical HIV Prevention Strategies Among Emerging and Young Adult Sexual Minority Men
BackgroundPre-exposure prophylaxis (PrEP) and HIV treatment as prevention, which underlies the Undetectable = Untransmittable (U = U) campaign, are...