Cancer is a malignant disease that has caused millions of human deaths. Its study has a
long history of well over 100years. There have been an enormous number of publications on …

Background The increasing amount of published literature in biomedicine represents an
immense source of knowledge, which can only efficiently be accessed by a new generation …

Information extraction (also known as relation extraction) is generally defined as the
extraction of information about a very focussed type of relationship from free text. Historically …

Background Large language models (LLMs) have the potential to support promising new
applications in health informatics. However, practical data on sample size considerations for …

The generation of new knowledge is continuous in biomedical domains, thus biomedical
literature is becoming harder to understand. Ontologies provide vocabulary standardization …

In this study, we report on the performance of an automated approach to discovery of
potential prostate cancer drugs from the biomedical literature. We used the semantic …

Background In order to access the large amount of information in biomedical literature about
genes implicated in various cancers both efficiently and accurately, the aid of text mining …

This eBook series brings updated reviews to readers interested in advances in the
development of anti-infective drug design and discovery. The scope of the eBook series …

Text mining is a popular methodology for building Technology Intelligence which helps
companies or organizations to make better decisions by providing knowledge about the …

Background Thyroid cancer is the most common endocrine tumor with a steady increase in
incidence. It is classified into multiple histopathological subtypes with potentially distinct …