The Role of Quality Data in Advancing AI and ML in Life Sciences

The use of AI and ML in the life science industries has the potential to be revolutionary. However, there are significant barriers to progress related to the quality and trustworthiness of data.

The Role of Quality Data in Advancing AI and ML in Life Sciences

With over 1.28 million fully curated small-molecule organic and metal-organic crystal structures, the Cambridge Structural Database (CSD) is a trusted and high-quality resource, underpinned by FAIR data principles and a certified CoreTrustSeal data repository, that can help underpin and drive the AI drug discovery revolution.

In this upcoming webinar, we'll explore:

  • The evolving reality of AI/ML in drug discovery.

  • The value of high-quality, curated data, and why the CSD is trusted globally.

  • How AI can help the pharma industry. 

Who should attend:

  • Data scientists working with chemical data.

  • Pharmaceutical researchers exploring digital, data, analytics, and informatics approaches to drug discovery.

  • Medicinal chemists.

Don't miss out on this opportunity to learn about the powerful combination of AI and the CSD to transform life science industries!

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