Drug repositioning is the process of identifying novel therapeutic potentials for existing drugs
and discovering therapies for untreated diseases. Drug repositioning, therefore, plays an …

Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

Abstract PubTator Central (https://www. ncbi. nlm. nih. gov/research/pubtator/) is a web
service for viewing and retrieving bioconcept annotations in full text biomedical articles …

Motivation Text mining has become an important tool for biomedical research. The most
fundamental text-mining task is the recognition of biomedical named entities (NER), such as …

Introduction: Artificial intelligence (AI) technologies continue to attract interest from a broad
range of disciplines in recent years, including health. The increase in computer hardware …

Community-run, formal evaluations and manually annotated text corpora are critically
important for advancing biomedical text-mining research. Recently in BioCreative V, a new …

Abstract The Comparative Toxicogenomics Database (CTD; http://ctdbase. org/) provides
information about interactions between chemicals and gene products, and their …

The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

Disease diagnosis is the identification of an health issue, disease, disorder, or other
condition that a person may have. Disease diagnoses could be sometimes very easy tasks …

Abstract Information encoded in natural language in biomedical literature publications is
only useful if efficient and reliable ways of accessing and analyzing that information are …