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Found 7 papers, 2 papers with code
Who Are All The Stochastic Parrots Imitating? They Should Tell Us!
In this opinion piece, we argue that LMs in their current state will never be fully trustworthy in critical settings and suggest a possible novel strategy to handle this issue: by building LMs such that can cite their sources - i. e., point a user to the parts of their training data that back up their outputs.
An Open-Source Knowledge Graph Ecosystem for the Life Sciences
Translational research requires data at multiple scales of biological organization.
Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality
Background: Common data models solve many challenges of standardizing electronic health record (EHR) data, but are unable to semantically integrate all the resources needed for deep phenotyping.
Knowledge-Driven Mechanistic Enrichment of the Preeclampsia Ignorome
Currently, the only definitive treatment of preeclampsia is delivery of the placenta, which is central to the pathogenesis of the disease.
Knowledge-based Biomedical Data Science 2019
Knowledge-based biomedical data science (KBDS) involves the design and implementation of computer systems that act as if they knew about biomedicine.
