There is an avalanche of biomedical data generation and a parallel expansion in
computational capabilities to analyze and make sense of these data. Starting with genome …

Natural products (NPs) are primarily recognized as privileged structures to interact with
protein drug targets. Their unique characteristics and structural diversity continue to marvel …

The mechanisms underlying phenotypic heterogeneity in autism spectrum disorder (ASD)
are not well understood. Using a large neuroimaging dataset, we identified three latent …

Every so often, a confluence of novel technologies emerges that radically transforms every
aspect of the industry, the global economy, and finally, the way we live. These sharp leaps of …

Advances in machine learning have impacted myriad areas of materials science, such as
the discovery of novel materials and the improvement of molecular simulations, with likely …

Motivation State-of-the-art biomedical named entity recognition (BioNER) systems often
require handcrafted features specific to each entity type, such as genes, chemicals and …

Ontologies are widely used in biological and biomedical research. Their success lies in their
combination of four main features present in almost all ontologies: provision of standard …

Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …

Across academia and industry, text mining has become a popular strategy for kee** up
with the rapid growth of the scientific literature. Text mining of the scientific literature has …

Objectives: To summarise current research that takes advantage of “Big Data” in health and
biomedical informatics applications. Methods: Survey of trends in this work, and exploration …