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How important is subject matter expertise in Life Sciences when using technology and AI
[SciBite + Pistoia Alliance Webinar]

Artificial Intelligence

This webinar is an excellent opportunity for anyone interested in the intersection of technology, artificial intelligence, and life sciences.

In this session, we discuss the following:

  • The importance of subject matter expertise (SME) in ensuring the accuracy and applicability of artificial intelligence models and other technologies in life sciences.
  • The role of expert input in developing, fine-tuning, and applying these technologies and how this can affect end-users.
  • How the lack of such expertise can result in factual errors with significant consequences.

Zahid Tharia, Consultant, Pistoia Alliance

Joe Mullen PhD, Director of Technical Consultants, SciBite

Related articles

  1. Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1]

    Artificial intelligence (AI) has been applied to numerous aspects of the life sciences, from disease diagnosis to drug discovery; in the first of this two-part blog series, we outline the impact of AI in Life Science and illustrate the various success stories of AI in Life Science.

  2. Revolutionizing Life Sciences: The future of AI in Life Science [Part 2]

    As discussed in part 1, Artificial intelligence (AI) has revolutionized several areas in life sciences, including disease diagnosis and drug discovery. In this second blog, we introduce some specific text-based models whilst also discussing the challenges and future impact of AI in Life Science.


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