Scientists are harnessing their multi-disciplinary expertise and resources to fight the COVID-
19 pandemic. Aligned with this mindset, the Covid-on-the-Web project aims to allow …

Abstract We present Doc2Hpo, an interactive web application that enables interactive and
efficient phenotype concept curation from clinical text with automated concept normalization …

Background Despite a wide adoption of English in science, a significant amount of
biomedical data are produced in other languages, such as French. Yet a majority of natural …

Explainable artificial intelligence typically focuses on data-based explanations, lacking the
semantic context needed to produce human-centric explanations. This is especially relevant …

Background Extracting concepts from biomedical texts is a key to support many advanced
applications such as biomedical information retrieval. However, in clinical notes Named …

The context of medical conditions is an important feature to consider when processing
clinical narratives. NegEx and its extension ConText became the most well-known rule …

Objective The adoption of electronic health records (EHRs) has produced enormous
amounts of data, creating research opportunities in clinical data sciences. Several concept …

The effectiveness of machine learning models to provide accurate and consistent results in
drug discovery and clinical decision support is strongly dependent on the quality of the data …

The COVID-19 pandemic has overwhelmed the healthcare services of many countries with
increased number of patients and also with a deluge of medical data. Furthermore, the …

Healthcare 4.0 demands healthcare data to be shaped into a common standardized and
interoperable format for achieving more efficient data exchange. What is also needed is for …