PubMed and beyond: biomedical literature search in the age of artificial intelligence
Biomedical research yields vast information, much of which is only accessible through the
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …
literature. Consequently, literature search is crucial for healthcare and biomedicine. Recent …
Knowledge-based approaches to drug discovery for rare diseases
The conventional drug discovery pipeline has proven to be unsustainable for rare diseases.
Herein, we discuss recent advances in biomedical knowledge mining applied to discovering …
Herein, we discuss recent advances in biomedical knowledge mining applied to discovering …
[HTML][HTML] Drug repurposing for COVID-19 via knowledge graph completion
Objective To discover candidate drugs to repurpose for COVID-19 using literature-derived
knowledge and knowledge graph completion methods. Methods We propose a novel …
knowledge and knowledge graph completion methods. Methods We propose a novel …
Broad-coverage biomedical relation extraction with SemRep
Background In the era of information overload, natural language processing (NLP)
techniques are increasingly needed to support advanced biomedical information …
techniques are increasingly needed to support advanced biomedical information …
A survey on event extraction for natural language understanding: Riding the biomedical literature wave
Motivation: The scientific literature embeds an enormous amount of relational knowledge,
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
encompassing interactions between biomedical entities, like proteins, drugs, and symptoms …
[HTML][HTML] Graph embedding-based link prediction for literature-based discovery in Alzheimer's Disease
Objective: We explore the framing of literature-based discovery (LBD) as link prediction and
graph embedding learning, with Alzheimer's Disease (AD) as our focus disease context. The …
graph embedding learning, with Alzheimer's Disease (AD) as our focus disease context. The …
[PDF][PDF] Learning to generate novel scientific directions with contextualized literature-based discovery
Abstract Literature-Based Discovery (LBD) aims to discover new scientific knowledge by
mining papers and generating hypotheses. Standard LBD is limited to predicting pairwise …
mining papers and generating hypotheses. Standard LBD is limited to predicting pairwise …
A survey on literature based discovery approaches in biomedical domain
Abstract Literature Based Discovery (LBD) refers to the problem of inferring new and
interesting knowledge by logically connecting independent fragments of information units …
interesting knowledge by logically connecting independent fragments of information units …
A survey of the recent trends in deep learning for literature based discovery in the biomedical domain
Every day, enormous amounts of biomedical texts discussing various biomedical topics are
produced. Revealing strong semantic connections hidden in those unstructured data is …
produced. Revealing strong semantic connections hidden in those unstructured data is …
A systematic review on literature-based discovery: general overview, methodology, & statistical analysis
The vast nature of scientific publications brings out the importance of Literature-Based
Discovery (LBD) research that is highly beneficial to accelerate knowledge acquisition and …
Discovery (LBD) research that is highly beneficial to accelerate knowledge acquisition and …