B2B service for retrieving publicly available patient publications on social media
By using natural language processing technologies (NLP, Natural Language Processing), the service analyzes publicly available publications on social networks about diseases, symptoms of diseases, and the effectiveness of treatment./p>
User data is depersonalized. The service works with texts in Russian, English, Chinese and other languages.
The service can be useful in diagnosing rare (orphan) diseases.
Previously, the service was positioned as a tool for deep semantic analysis of documents (scientific articles, descriptions clinical trials, patents, press releases etc.) conducted in the interests of pharmaceutical companies in order to assess the prospects of the drugs being developed.
Unless otherwise stated, the content is available under Creative Commons BY 4.0 license
Supported by the Moscow Government
Content and Editorial:tech@ict.moscow