To enhance phenotype recognition in clinical notes of genetic diseases, we developed two
models—PhenoBCBERT and PhenoGPT—for expanding the vocabularies of Human …

With advancements in large language models, artificial intelligence (AI) is undergoing a
paradigm shift where AI models can be repurposed with minimal effort across various …

Motivation With the exponential growth of the life sciences literature, biomedical text mining
(BTM) has become an essential technology for accelerating the extraction of insights from …

Biomedical relation extraction (BioRE) is the task of automatically extracting and classifying
relations between two biomedical entities in biomedical literature. Recent advances in …

Abstract Motivation Drug–target interactions (DTIs) play a pivotal role in drug discovery, as it
aims to identify potential drug targets and elucidate their mechanism of action. In recent …

Relation extraction (RE) from large text collections is an important tool for database curation,
pathway reconstruction, or functional omics data analysis. In practice, RE often is part of a …

With the exponential growth of the life science literature, biomedical text mining (BTM) has
become an essential technology for accelerating the extraction of insights from publications …

Integrating external knowledge into neural models has been extensively studied to improve
the performance of pre-trained language models, especially in the biomedical domain. In …

Recently, the focus of cancer drug discovery has shifted towards developing targeted drugs
that specifically target deregulated proteins in cancer tissues. Despite extensive efforts to …

Biomedical relation extraction (BioRE) is the task of automatically extracting and classifying
relations between two biomedical entities in biomedical literature. Recent advances in …