Basel Life 2017. Reinforcing research with machine-readable papers
How can someone take into account related ideas from all 40+ M of papers, clinical trial reports, lab notebooks and internal documentation?
Besides an obvious way of reading all of them, there is an option to augment literature review by navigating through the linked facts. sci.AI platform semanticizes research communication, extracts and links key facts and concepts, places them in global knowledge graph to reinforce research process with all related findings and hypotheses documented before.
Come and find out details at the posters presentation session. Also, drop a mail at email@example.com to book a personal meeting at the Basel Life 2017 or just leave your email in the form below
Related info and materials:
- Session Title: Flash talks & Poster Session 2
- Session Date, Time: Tuesday, 12 September 2017
- Presenting Time: 16.30-18.00
- Poster number: P200 – Reinforcing algorithmic research of drugs candidates with machine-readable papers, R. Gurinovich, sci.AI, Tallinn, Estonia
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