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Scientific rewards for biomedical specialization are large and persistent
BackgroundWhile specialization plays an essential role in how scientific research is pursued, we understand little about its effects on a...
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A minimal metadata set (MNMS) to repurpose nonclinical in vivo data for biomedical research
Although biomedical research is experiencing a data explosion, the accumulation of vast quantities of data alone does not guarantee a primary...
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Graph embedding on mass spectrometry- and sequencing-based biomedical data
Graph embedding techniques are using deep learning algorithms in data analysis to solve problems of such as node classification, link prediction,...
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Serial KinderMiner (SKiM) discovers and annotates biomedical knowledge using co-occurrence and transformer models
BackgroundThe PubMed archive contains more than 34 million articles; consequently, it is becoming increasingly difficult for a biomedical researcher...
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Translational science: a survey of US biomedical researchers’ perspectives and practices
This national survey aimed to identify how biomedical researchers using vertebrate animals viewed issues of significance for translational science,...
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The Automated Systematic Search Deduplicator (ASySD): a rapid, open-source, interoperable tool to remove duplicate citations in biomedical systematic reviews
BackgroundResearchers performing high-quality systematic reviews search across multiple databases to identify relevant evidence. However, the same...
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A survey on the use of mice, pigs, dogs and monkeys as animal models in biomedical research in Spain
BackgroundThe use of animals in biomedical science remains controversial. An individual’s level of concern is generally influenced by their culture,...
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Combining Literature Mining and Machine Learning for Predicting Biomedical Discoveries
The major outcomes and insights of scientific research and clinical study end up in the form of publication or clinical record in an unstructured...
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Menoci: lightweight extensible web portal enhancing data management for biomedical research projects
BackgroundBiomedical research projects deal with data management requirements from multiple sources like funding agencies’ guidelines, publisher...
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Comparisons of Knowledge Graphs and Entity Extraction in Breast Cancer Subty** Biomedical Text Analysis
In order to capitalize on the extensive biological research publications and databases, knowledge graphs can help extract clinically useful details...
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A2A: a platform for research in biomedical literature search
BackgroundFinding relevant literature is crucial for many biomedical research activities and in the practice of evidence-based medicine. Search...
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Use of Patent Classification in Searching for Biomedical Information
Abstract—Patent literature is an integral and significant part of human knowledge, the disrespect for which can negatively affect the quality of a...
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Packaging and containerization of computational methods
Methods for analyzing the full complement of a biomolecule type, e.g., proteomics or metabolomics, generate large amounts of complex data. The...
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A transfer learning model with multi-source domains for biomedical event trigger extraction
BackgroundAutomatic extraction of biomedical events from literature, that allows for faster update of the latest discoveries automatically, is a...
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The Rat Genome Database (RGD) facilitates genomic and phenotypic data integration across multiple species for biomedical research
Model organism research is essential for discovering the mechanisms of human diseases by defining biologically meaningful gene to disease...
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Writing a strong scientific paper in medicine and the biomedical sciences: a checklist and recommendations for early career researchers
Scientific writing is an important skill in both academia and clinical practice. The skills for writing a strong scientific paper are necessary for...