#biomedical-text-mining

#biomedical-text-mining

Translational informatics utilizes biomedical text mining and NLP to connect research findings with real-world clinical applications.

Community challenges have greatly advanced biomedical text mining by offering benchmarks and fostering collaboration.

Large language models necessitate robust evaluation benchmarks for biomedical text mining.

Future challenges should focus on multimodal data integration in biomedical research.

Biomedical text mining challenges face data quality and representativeness issues, hindering innovation.

Current evaluations lack diversity in methodologies and often use inadequate datasets.