Medistrava and Sorcero enable life science enterprises to extract valuable insights from an expansive number of sources in a centralized location, thereby accelerating the tedious manual review process, increasing productivity, and providing a deeper understanding of complex, scientific content.
Intelligent Literature Monitoring (ILM) is a new approach to systematic literature searches around therapeutic domains.
ILM uses Artificial Intelligence (AI) and its subset discipline Natural Language Processing (NLP). It extracts valuable insights from the world's largest set of open-access scientific sources, as they are being published, into one platform.
Sorcero, MEDiSTRAVA, Coherus, and Moderna aimed to demonstrate the benefits of transforming literature monitoring from a manual report-based process into an intuitive, semi-automated, AI-driven process.
We assessed two approaches to continuous literature monitoring:
ILM was performed using the Sorcero LI Platform and the BioBERT language model against identical corpora.
We compared:
Download the Intelligent Literature Monitoring Case Study to see the outcomes.
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