The client carries out clinical research activities that require the consultation of studies, research and data.
These activities are carried out almost exclusively by researchers, with consequent huge investments of time and resources.
Text analytics, deep learning, and NLP software have been used to analyze countless studies, research, and epidemiological data.
The use of these technologies does not eliminate the need for researchers' activities, but allows them a more targeted and punctual intervention.
The analyzed data has also been indexed to allow faster research in case of necessary insights.
Machine learning algorithms allow software to evolve based on feedback from researchers, thus enabling increasingly reliable searches.
Increase in the sources that can be consulted and therefore in the quality of the analysis and research activities: