This paper primarily examines the utilization and obstacles of AI in the domain of chemistry.
Machine learning facilitates the advancement of chemical research at every level through …

Motivation The interaction between drugs and targets (DTI) in human body plays a crucial
role in biomedical science and applications. As millions of papers come out every year in the …

Biomedical relation extraction (RE) is critical in constructing high-quality knowledge graphs
and databases as well as supporting many downstream text mining applications. This paper …

The extraction of interactions between chemicals and proteins from several biomedical
articles is important in many fields of biomedical research such as drug development and …

This paper describes our team's participation in Track 1 of the BioCreative VII challenge to
automatically detect relations between chemical compounds/drugs and genes/proteins …

Motivation Much effort has been invested in the identification of protein-protein interactions
using text mining and machine learning methods. The extraction of functional relationships …

Abstract Information extraction from textual data is becoming more crucial with the increase
of available data on the internet. Automatic extraction of information from biomedical data is …

Alzheimer's disease and related dementias (AD/ADRDs) are among the most common forms
of dementia, and yet no effective treatments have been developed. To gain insight into the …

Biological entities such as genes, proteins, and microRNAs are critical players in various
biological processes and diseases. The role of these entities on biological processes and …

Abstract Knowledge bases support multiple research efforts such as providing contextual
information for biomedical entities, constructing networks, and supporting the interpretation …