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SciBite / Knowledge Hub / Resources / How important is SME in life sciences when using technology and AI [Webinar]

How important is subject matter expertise in life sciences when using technology and AI [Webinar]

Overview

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

Webinar highlights
  • 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.

Presenter

Joe Mullen PhD, Director of Technical Consultants, SciBite
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Joe Mullen
Product Director, Software Solutions

With a PhD from Newcastle University in computational approaches to drug repositioning, Joe brings a strong scientific foundation rooted in semantic data integration, knowledge graphs, and data mining. Since joining SciBite in 2017, he has had the privilege of leading the Data Science and Professional Services teams, where  he combined cutting-edge technology with our core data enrichment products to create tailored solutions for a diverse range of customers.

Today, as Product Director, Joe is passionate about shaping the vision of our software solutions, aligning them with strategic goals, and most importantly, supporting our clients in unlocking the full potential of their scientific data.

His focus is on driving innovation that empowers scientists and organizations to make impactful discoveries faster and more efficiently.

Other articles by Joe

  1. What is agentic AI and is there a role for ontologies? read more
  2. Are ontologies still relevant in the age of LLMs? read more
  3. What is Retrieval Augmented Generation, and why is the data you feed it so important? read more
  4. Large language models (LLMs) and search; it’s a FAIR game, read more
  5. Revolutionizing Life Sciences: The incredible impact of AI in Life Science [Part 1], read more
  6. Why use your ontology management platform as a central ontology server? read more
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https://scibite.com/knowledge-hub/news/are-ontologies-still-relevant-in-the-age-of-llms/ thumbnail image News Are ontologies still relevant in the age of LLMs?

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https://scibite.com/knowledge-hub/news/revolutionizing-life-sciences-part-1/ thumbnail image News Revolutionizing life sciences [Part 1]: The incredible impact of AI in life sciences

In part 1 of this 2 blog series, we outline the impact of AI in Life Science and illustrate the various success stories of AI in Life Science.

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In part 2, we introduce some specific text-based models whilst also discussing the challenges and future of AI in Life Science.

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