Networks—or graphs—are universal descriptors of systems of interacting elements. In
biomedicine and healthcare, they can represent, for example, molecular interactions …

For over a decade the term “Big data” has been used to describe the rapid increase in
volume, variety and velocity of information available, not just in medical research but in …

Abstract The Human Phenotype Ontology (HPO)—a standardized vocabulary of phenotypic
abnormalities associated with 7000+ diseases—is used by thousands of researchers …

Abstract Motivation Large language models (LLMs) are being adopted at an unprecedented
rate, yet still face challenges in knowledge-intensive domains such as biomedicine …

Motivation Creating knowledge bases and ontologies is a time consuming task that relies on
manual curation. AI/NLP approaches can assist expert curators in populating these …

Abstract The Illuminating the Druggable Genome (IDG) project aims to improve our
understanding of understudied proteins and our ability to study them in the context of …

A large proportion of biomedical research and the development of therapeutics is focused
on a small fraction of the human genome. In a strategic effort to map the knowledge gaps …

The ability to computationally predict whether a compound treats a disease would improve
the economy and success rate of drug approval. This study describes Project Rephetio to …

Ontologies, Phenotypes, and Big Data Data-organizing methods have been in place for
centuries, but very large data sets have come into being relatively recently. The authors …

Plant phenomics is a new avenue for linking plant genomics and environmental studies,
thereby improving plant breeding and management. Remote sensing techniques have …