Defining + Decrypting "Quality Data" In Health Care AI With Recursion's Najat Khan
Episode description
Recorded on 4/11/25
TD Cowen's Machine Medicine: AI & Health Care podcast series takes on the cross-sector artificial intelligence revolution and breaks it down one piece at a time. We highlight some of the biggest misconceptions about how AI is and can be used in different health care settings and aim to contextualize the latest and most impactful developments in a field defined by rapid innovation.
In this episode, TD Cowen Health Care Analyst Brendan Smith hosts Najat Khan, Ph.D., the Chief R&D Officer and Chief Commercial Officer of Recursion, to pull back the curtain on one of the largest datasets in AI drug discovery and help us define what "quality data" actually looks like. We discuss how the data you gather, the data you generate, and the data you ultimately use to train your AI model play such a critical role in its differentiation and future success.