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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A problem we’ve come across repeatedly is how AI can be used to estimate how much a project will cost, based on information known before the project begins, or soon after it starts. By “project” I mean a large project in any industry, including construction, pharmaceuticals, healthcare, IT, or transport, but this could equally apply to something like a kitchen renovation.
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!
Fast Data Science appeared at the Hamlyn Symposium event on “Healing Through Collaboration: Open-Source Software in Surgical, Biomedical and AI Technologies” Thomas Wood of Fast Data Science appeared in a panel at the Hamlyn Symposium workshop titled “Healing Through Collaboration: Open-Source Software in Surgical, Biomedical and AI Technologies”. This was at the Hamlyn Symposium on Medical Robotics on 27th June 2025 at the Royal Geographical Society in London.
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