Researchably (USA), a startup in the highly-selective UC Berkeley SkyDeck accelerator program, announces the only AI solution which uses natural language processing (NLP) to read and review these scientific articles, summarize them, and determine which departments they are relevant to faster, making far fewer errors than expert readers.
The French pharmaceutical company Sanofi is running a pilot with Researchably, as are other major pharmas which cannot be named.
The new solution cuts the time to scan and review a paper from an average of 13 minutes per paper when done by a person, to less than one second.
Using an AI platform and machine learning, Researchably first categorizes scientific papers at a high level, determining, for example, whether the paper is an observational study or an experimental study. Following that, the platform reads it for specific details and sends researchers a custom stream of appropriate papers culled for specialty and interests.
Sanofi’s trial with the Researchably platform is through its medical communications team in China which is tasked with keeping doctors informed about the latest developments in their fields.
Researchably is the next generation NLP framework for life sciences. Its AI technology extracts insights from research papers, clinical trials or any text, much faster than any human reviewers and with far fewer errors. The company’s technology is focused on reading, reviewing and analyzing scientific journals and papers for the pharmaceutical industry.