Hi there,

Shahid from Elicit here with a case study showing how Formation Bio, an AI-native pharmaceutical company, uses Elicit to help power their platform for hyper-efficient drug development. Hopefully, this helps you think of new ways to apply Elicit to your research.

Formation Bio first used Elicit when faced with daunting systematic literature reviews while developing one of the clinical stage drugs in their pipeline. “The traditional approach would be manually combing through about 2,500 scientific papers – that’s hundreds of hours of expert labor," said Sandeep Basnet, Senior Director of Clinical Development. “These intensive reviews are necessary, but slow down clinical research and ultimately delay the progression of new potential treatments to patients.”

Formation tried multiple tools, but were particularly drawn to Elicit’s accuracy, in-line citations from research papers, and ease of integration with Formation’s broader AI platform.

An example of citation support in Elicit

"We ended up extracting from 1,600 papers. We reviewed the output, and it was accurate. We did in about 10 hours what previously would have taken closer to hundreds of hours.” Basnet said. “Elicit can extract technically complex variables from an enormous volume of papers with researcher-level accuracy – that’s incredible.”

By integrating Elicit's AI-powered literature review into its broader AI-native platform, Formation Bio can now better transform traditional drug development processes into ones that can be completed in a fraction of the time – ultimately bringing potentially life-changing treatments to patients faster than ever before.

To learn more about how Formation Bio uses Elicit to improve their research, read the full case study here.

Thanks,

Shahid