In this episode, we sit down with Luigi Gentile, the Chief Revenue Officer at BenchSci, a company that uses advanced biomedical artificial intelligence to empower scientists all around the world. He joins us today to discuss their preclinical R&D platform that uses patented machine learning technology to extract experiment evidence from internal and external data sources.

The R&D process behind clinical experimentation is often challenging and time-consuming. BenchSci seeks to expedite this process by cutting down on trial and error procedures – and thus, empowering scientists across therapeutic areas with cutting-edge biomedical knowledge…

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How BenchSci saves scientists time and money.
How scientists had to conduct clinical experimentation prior to BenchSci’s technology.
The algorithm that BenchSci is using to truly understand experiments.
The three categories of clinical experimentation.

To learn more about Luigi and his work with BenchSci, click here now!

Episode also available on Apple Podcast: http://apple.co/30PvU9C

Using AI To Empower Scientists | How To Expedite The Clinical Experimentation Process