43,323 papers found

MOTIVATION: Medical Subject Headings (MeSHs) are used by National Library of Medicine (NLM) to index almost all citations in MEDLINE, which greatly facilitates the applications of biomedical information retrieval and text mining. To reduce the time and financial cost of manual annotation, NLM has developed a software p…

PolySearch2 (http://polysearch.ca) is an online text-mining system for identifying relationships between biomedical entities such as human diseases, genes, SNPs, proteins, drugs, metabolites, toxins, metabolic pathways, organs, tissues, subcellular organelles, positive health effects, negative health effects, drug acti…

INTRODUCTION: The purpose of this study was to evaluate the accuracy and limitations of published algorithms using the 12-lead ECG to localize AV accessory pathways (APs). METHODS AND RESULTS: The 11 relevant algorithms found in the literature (MEDLINE database and major scientific sessions) were tested on a series of…

BioLit is a web server which provides metadata describing the semantic content of all open access, peer-reviewed articles which describe research from the major life sciences literature archive, PubMed Central. Specifically, these metadata include database identifiers and ontology terms found within the full text of th…

PURPOSE: To examine whether National Institutes of Health (NIH) funded articles that were archived in PubMed Central (PMC) after the release of the 2008 NIH Public Access Policy show greater scholarly impact than comparable articles not archived in PMC. METHODS: A list of journals across several subject areas was deve…

BACKGROUND: Calcitonin gene-related peptide (CGRP) is a validated target for the treatment of episodic migraine. Here we assess the safety, tolerability, and efficacy of TEV-48125, a monoclonal anti-CGRP antibody, in the preventive treatment of high-frequency episodic migraine. METHODS: In this multicentre, randomised…

Despite the availability of various data repositories for plant research, a wealth of information currently remains hidden within the biomolecular literature. Text mining provides the necessary means to retrieve these data through automated processing of texts. However, only recently has advanced text mining methodolog…

High-throughput experiments and bioinformatics techniques are creating an exploding volume of data that are becoming overwhelming to keep track of for biologists and researchers who need to access, analyze and process existing data. Much of the available data are being deposited in specialized databases, such as the Ge…

BACKGROUND: It is unknown whether changes in study sponsorship have affected the proportion of prospective research on surgery, radiotherapy, and pharmacotherapy for head and neck squamous cell carcinoma (HNSCC) being published over time. PATIENTS AND METHODS: We examined prospective studies from PubMed, Ovid MEDLINE,…

BACKGROUND: Cerebrospinal fluid (CSF) examination is considered important in the diagnosis of neurosarcoidosis, however, data on whether and how CSF parameters may be related to MRI findings and clinical disease activity of patients with neurosarcoidosis are scarce. OBJECTIVE: To correlate CSF findings in patients wit…

OBJECTIVE: This research measures the effectiveness of the practice of correction and republication of invalidated articles in the biomedical literature by analyzing the rate of citation of the flawed and corrected versions of scholarly articles over time. If the practice of correction and republication is effective, t…

BACKGROUND: The human monoclonal antibody opicinumab (BIIB033, anti-LINGO-1) has shown remyelinating activity in preclinical studies. We therefore assessed the safety and tolerability, and efficacy of opicinumab given soon after a first acute optic neuritis episode. METHODS: This randomised, double-blind, placebo-cont…

Since it is becoming increasingly laborious to manually extract useful information embedded in the ever-growing volumes of literature, automated intelligent text analysis tools are becoming more and more essential to assist in this task. PubFinder (www.glycosciences.de/tools/PubFinder) is a publicly available web tool…

BACKGROUND: Recent studies demonstrated that long non-coding RNAs (lncRNAs) could be intricately implicated in cancer-related molecular networks, and related to cancer occurrence, development and prognosis. However, clinicopathological and molecular features for these cancer-related lncRNAs, which are very important in…

INTRODUCTION AND OBJECTIVE: The growing expectations for the effectiveness of public health increase the demand for scientific literature, concerning research, reviews and other forms of information. The bibliographic databases are of crucial importance for researchers and policy makers. The objective of this study is…

BACKGROUND: A scientific name for an organism can be associated with almost all biological data. Name identification is an important step in many text mining tasks aiming to extract useful information from biological, biomedical and biodiversity text sources. A scientific name acts as an important metadata element to l…

BACKGROUND/AIMS: Electronic searches on databases for randomised clinical trials and controlled clinical trials do not identify as many trials as handsearches, and trial reporting may be flawed. The aims were to identify all fully reported randomised clinical trials in the Journal of Hepatology and to make a qualitativ…

BACKGROUND: Biological data have traditionally been stored and made publicly available through a variety of on-line databases, whereas biological knowledge has traditionally been found in the printed literature. With journals now on-line and providing an increasing amount of open access content, often free of copyright…

MOTIVATION: A central problem in bioinformatics is how to capture information from the vast current scientific literature in a form suitable for analysis by computer. We address the special case of information on protein-protein interactions, and show that the frequencies of words in Medline abstracts can be used to de…