Top Tweets for #iKraph

5 months ago

A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research https://t.co/PmwLyvT3mx #iKraph #AI_for_science Summary: In this study, authors built a large biomedical knowledge graph called iKraph using all PubMed abstracts. It extracts information with human-level accuracy and integrates data from 40 public databases. The system can discover indirect causal relationships and predict new drug candidates. Overall, the study demonstrates that large-scale, literature-integrated knowledge graphs combined with interpretable inference methods can enable powerful, real-time biomedical discovery. The authors also released a cloud-based platform for academic users to access the structured data and analytical tools.

BioAI_NeuralNet's tweet photo. A comprehensive large-scale biomedical knowledge graph for AI-powered data-driven biomedical research

https://t.co/PmwLyvT3mx
#iKraph #AI_for_science

Summary: In this study, authors built a large biomedical knowledge graph called iKraph using all PubMed abstracts. It extracts information with human-level accuracy and integrates data from 40 public databases.
The system can discover indirect causal relationships and predict new drug candidates. Overall, the study demonstrates that large-scale, literature-integrated knowledge graphs combined with interpretable inference methods can enable powerful, real-time biomedical discovery. The authors also released a cloud-based platform for academic users to access the structured data and analytical tools.

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