It is now almost 15 years since the publication of the first paper on text mining in the
genomics domain, and decades since the first paper on text mining in the medical domain …

Objectives This paper provides an introduction and overview of literature based discovery
(LBD) in the biomedical domain. It introduces the reader to modern and historical LBD …

Objective To discover candidate drugs to repurpose for COVID-19 using literature-derived
knowledge and knowledge graph completion methods. Methods We propose a novel …

Effective access to the vast biomedical knowledge present in the scientific literature is
challenging. Semantic relations are increasingly used in knowledge management …

Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …

The recently proposed concept of molecular connectivity maps enables researchers to
integrate experimental measurements of genes, proteins, metabolites, and drug compounds …

Objective: Explore the automated acquisition of knowledge in biomedical and clinical
documents using text mining and statistical techniques to identify disease-drug associations …

The biomedical community makes extensive use of text mining technology. In the past
several years, enormous progress has been made in developing tools and methods, and the …

Abstract Literature Based Discovery (LBD) refers to the problem of inferring new and
interesting knowledge by logically connecting independent fragments of information units …

Background Drug discovery is the process through which potential new medicines are
identified. High-throughput screening and computer-aided drug discovery/design are the …