Due to rapid technological innovations, life science and pharmaceutical research creates an enormous amount of data. Information Discovery for Pharma analyses and categorizes scientific publications and supports you in always staying at the current level of research.
Organize your research more efficiently
What are potential targets for new substances? Which biomarkers can deliver information for prognosis and individual therapy, as well as for medication safety? Information Discovery offer answers to these questions and contribute to a faster and more efficient development of medications and acceleration of innovation cycles.
What are possible targets for a specific indication?
Together with pharmaceutical researchers, Averbis has developed Information Discovery for Pharma which enables information scientists to gain new insights and evidence from scientific publications for their daily work, whereby the focus is on gene-disease relations extracted from scientific publications by means of machine learning processes.
The application stores the facts in search indexes and their semantic relations in NoSQL databases. With the help of the visualization of contexts based on current search results, the user obtains clear aggregations and quick orientation.
Would you like to see a demo?
We would be glad to present our products to you and create a demonstration based on your selected data repositories.