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AI-powered Research Assistants: How Bayer and Pfizer accelerate Drug Discovery in Preclinical R&D

Webinars Back

Join our on-demand webinar featuring theÌýHead of Pharmacology & Safety IT at Bayer AG, and theÌýDirector of Data Science & Machine Learning at Pfizer, alongsideÌýexperts at ºÚÁÏÃÅ, as they delve into the AI-powered R&D Research Assistant — a specialized methodology leveraging data and AI for knowledge management.

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Discover how the Research Assistant operates within their organizations, the problems it addresses, the challenges encountered, the opportunities it created, and the valuable insights gained through user adoption.

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Outcomes from the webinar

  • Gain a clear understanding of the challenges and opportunities in optimizing knowledge retrieval, interpretation, and creation. Ìý

  • Discover the technology and methodology behind the R&D Research Assistant. Explore real-world implementations across various clients.Ìý

  • Visualize how the Research Assistant could be applied in your environment.

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Thank you for your interest. You can watch the recording of the session by clicking on this link:Ìý

You will also get an e-mail with the link to the recording.

Meet your speakers

Nimisha Asthagiri
Nimisha Asthagiri

Head of AI and Analytics, ºÚÁÏÃÅ North America

Sarang Kulkarni
Sarang Kulkarni

Tech Principal and Lead Consultant, ºÚÁÏÃÅ Europe

Jonas Muench Bayer
Jonas Münch

Head of Pharmacology & Safety IT, Bayer AG

Kate Ostbye
Kate Ostbye

Director of Data Science & Machine Learning, Pfizer

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