Shruthan Radhakrishna on Muck Rack

Shruthan Radhakrishna

As seen in: medRxiv
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Articles

Enhancing automated indexing of publication types and study designs in biomedical literature using full-text features

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By Joe Menke, Shufan Ming, Shruthan Radhakrishna, Halil Kilicoglu
| medRxiv
Halil Kilicoglu reports financial support was provided by National Library of Medicine. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. This work was supported by the National Library of Medicine of the National Institutes of Health under the award number R01LM14292.
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Generative AI for DataWeave: Generate Code from Unit Tests

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By Shruthan Radhakrishna
| salesforce.com
The DataWeave Codegen project by the MuleSoft ML/AI team is a generative AI tool aimed at simplifying the use of MuleSoft’s powerful data transformation programming language, DataWeave, and making it more accessible for low-code/no-code users. The DataWeave language can have a steep learning curve, but DataWeave Codegen simplifies the process by letting users generate DataWeave scripts by simply providing a sample input and output data corresponding to the desired DataWeave code.
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