Listen to the new episode of the Clinical Trial Files podcast, where Karin Avila, Taymeyah Al-Toubah and Thomas Wood of Fast Data Science chat about AI and NLP in pharma, the Clinical Trial Risk Tool, what impact AI can make in clinical trials. This episode commemorates Alan Turing’s 113rd birthday on 23 June 2025.
The group chatted about how a team of data scientists together with clinical professionals can be much greater than the sum of its parts, and what traditional machine learning, statistics, and generative AI can achieve in the clinical research field.
Thomas Wood also discussed the thinking behind Fast Data Science’s flagship product, the Clinical Trial Risk Tool, and why and how this tool came to exist and how it’s helping clinical researchers validate protocols. Karin and Taymeyah told us about the exciting developments in AI that they are seeing in clinical research.
The Clinical Trial Files podcast is organised by Karin Avila, Taymeyah Al-Toubah, and Roberto Torres. You can listen below on Spotify:
You can find the Clinical Trial Files podcast episode on
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You are probably familiar with traditional databases. For example, a teacher at a school will need to enter students’ grades into a system where they get stored, and at the end of the year the grades would need to be retrieved to create the report card for each student. Or an employee database might store employees’ home addresses, pay grades, start dates, and other crucial information. Traditionally, organisations use a structure called a relational database, where different types of data are stored in different tables, with links between them, and they can be queried using a special language called SQL.
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Senior lawyers should stop using generative AI to prepare their legal arguments! Or should they? A High Court judge in the UK has told senior lawyers off for their use of ChatGPT, because it invents citations to cases and laws that don’t exist!
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