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Opportunities and challenges for ChatGPT and large language models in biomedicine and health
ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …
with its remarkable text generation capabilities. This has subsequently led to the emergence …
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 …
Medcpt: Contrastive pre-trained transformers with large-scale pubmed search logs for zero-shot biomedical information retrieval
Motivation Information retrieval (IR) is essential in biomedical knowledge acquisition and
clinical decision support. While recent progress has shown that language model encoders …
clinical decision support. While recent progress has shown that language model encoders …
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 …
[HTML][HTML] BioREx: improving biomedical relation extraction by leveraging heterogeneous datasets
Biomedical relation extraction (RE) is the task of automatically identifying and characterizing
relations between biomedical concepts from free text. RE is a central task in biomedical …
relations between biomedical concepts from free text. RE is a central task in biomedical …
Artificial intelligence in action: addressing the COVID-19 pandemic with natural language processing
The COVID-19 (coronavirus disease 2019) pandemic has had a significant impact on
society, both because of the serious health effects of COVID-19 and because of public …
society, both because of the serious health effects of COVID-19 and because of public …
[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 …
Exploring the in-context learning ability of large language model for biomedical concept linking
[HTML][HTML] Enhancing the coverage of SemRep using a relation classification approach
Objective: Relation extraction is an essential task in the field of biomedical literature mining
and offers significant benefits for various downstream applications, including database …
and offers significant benefits for various downstream applications, including database …