On 29 May, Thomas Wood presented a webinar on how AI and Natural Language Processing (NLP) can transform clinical trials in the pharmaceutical industry.
During the event, Thomas talked about
Thomas Wood also discussed the Clinical Trial Risk Tool, developed by Fast Data Science for clients in the pharma industry (CTOs, trial sponsors) to be able to use NLP and AI to predict trial risk and anticipate costs.
Download the pitch deck for the Clinical Trial Risk Tool
Fast Data Science - London
Fast Data Science is a leading data science consultancy firm providing bespoke machine learning solutions for businesses of all sizes across the globe and specialising in AI in pharma. With a focus on innovation and collaboration, Fast Data Science empowers businesses to leverage the transformative power of data.
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We are excited to introduce the new Harmony Meta platform, which we have developed over the past year. Harmony Meta connects many of the existing study catalogues and registers.
Guest post by Jay Dugad Artificial intelligence has become one of the most talked-about forces shaping modern healthcare. Machines detecting disease, systems predicting patient deterioration, and algorithms recommending personalised treatments all once sounded like science fiction but now sit inside hospitals, research labs, and GP practices across the world.
If you are developing an application that needs to interpret free-text medical notes, you might be interested in getting the best possible performance by using OpenAI, Gemini, Claude, or another large language model. But to do that, you would need to send sensitive data, such as personal healthcare data, into the third party LLM. Is this allowed?
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