Highlights•Medline, ClinicalTrials. gov and other sites offer search portal access to the latest
information.•The limited synonyms on the portals hinder efficient and effective searches.•An …

Background and objectives Text mining and semantic analysis approaches can be applied
to the construction of biomedical domain-specific search engines and provide an attractive …

Natural language processing (NLP) is a branch of artificial intelligence, which combines
computational linguistics, machine learning, and deep learning models to process human …

The complexity and wide range of current biomedical research is reflected in the number
and scope of biomedical publications. Due to this abundance scientists are often no longer …

Gail Dutton hen Eli Lilly needed to extract data from clinical trial reports, it used an artificial
intelligence (AI) approach called natural language processing (NLP) to replace manual …

TPX is a web-based PubMed search enhancement tool that enables faster article searching
using analysis and exploration features. These features include identification of relevant …

Background A plethora of publicly available biomedical resources do currently exist and are
constantly increasing at a fast rate. In parallel, specialized repositories are been developed …

PURPOSE Despite advances in molecular therapeutics, few anticancer agents achieve
durable responses. Rational combinations using two or more anticancer drugs have the …

Search engines running on scientific literature have been widely used by life scientists to
find publications related to their research. However, existing search engines in the life …

Highlights•Biochemical data can be represented with text-based languages codified by
humans.•Natural language processing (NLP) can be applied to textual biochemical …