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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Why are product returns a problem? Large businesses like Amazon can swallow the cost of product returns, and generally account for it, but if you’re running a small business a single return can be very expensive. However, product returns can be a major problem for small and large businesses and it is helpful to identify when this is likely to occur.
Fast Data Science Ltd’s flagship AI platform, the Clinical Trial Risk Tool, has been accepted as a supplier on the UK Government’s G-Cloud 15 framework.
We are pleased to announce that Thomas Wood, director of Fast Data Science, will be appearing as a panelist at the Bond Solon Expert Witness Conference on 6 November 2026 at Church House, Westminster in London. This follows Thomas’s recent appearance at the Ireland’s Expert Witness Conference on 20 May 2026.
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