SciAI is an extension for the text editors like Google Docs to create structured semantic biomedical papers directly at the moment of writing
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sci-secret.json

README.md

Welcome to Sci.AI!

Sci.AI is an easy to use word processor that helps scientists create semantic biomedical texts. This results in a reusable machine- and human-readable papers.

WHAT WE'RE DOING

Currently, published articles exist as plain text only. Due to the complexity of the biosciences, even advanced NLP algorithms fail to understand and process research results. The lack of modern meta-analysis and AI algorithms in biosciences drastically reduces opportunities to input data for modeling in silico. Previous attempts to solve this problem were too complicated and inconvenient for users, which inevitably resulted in low adoption.

Sci.AI is a unique program that resolves all these problems. It improves article writing, depth and consistency for biomedical scientists, publishers and journal editors. The “secret" lay in metatagging and organizing text directly at the moment of writing. This allows researchers to control and approve structures and links proposed by the Sci.AI algorithm. As a result the program creates machine- and human-readable articles, the science of which can be simulated in any computational environment.

WANT TO HELP?

Sci.AI is an open project. Everyone is more than welcome to test it out and contribute. We particularly need researchers with annotation or OpenBEL expertise at this time.