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Audio Interview

AI and the pharma industry: what companies are, and could be, doing

Published on March 10, 2025   25 min

A selection of talks on Technology & Operations

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Interviewer: Today I'm interviewing Dr. Jane Lomax who heads the Ontologies technical and services team at SciBite, part of the Elsevier group of companies, on the subject of what pharma companies are already doing and could do to use AI to better utilize the vast amount of data they have both to solve the problem of knowing what they already know that is somewhere in the organization in some storage system, database or silo and to create new knowledge. Dr. Lomax, thank you for sparing the time. May I structure this interview by asking the following. What do you see as the pharma industry's perceived needs? What tools do you have to meet those needs? How do you deploy those tools? What can you currently achieve? What do you expect to be able to do in the near and in the medium term future that you can't currently do? Finally, what do you not see as possible in the foreseeable future? Dr. Lomax. Dr. Lomax: Hi, Neil. Thanks for having me on. I think we start at the start then. What do you see as the pharma industry's perceived needs? I think the pharmaceutical industry deals with data. That is their wheelhouse. Ultimately, they're making medicinal compounds. But really, what they're dealing with is data. There's a great quote from Philippe Marc at Novartis.

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