We developed a tool using Natural Language Processing for a client in the pharmaceutical space to assist experts to estimate the risk of a clinical trial ending uninformatively. You can read more about it in our guest article on Clinical Leader.
The Clinical Trial Risk Tool has been featured in a guest column by Thomas Wood, director of Fast Data Science, in Clinical Leader, titled A Tool To Tackle The Risk Of Uninformative Trials, in cooperation with Abby Proch, Executive Editor at Clinical Leader.
Tech Talk: Building AI for Good - Showcase & Meetup at Newspeak House on 23 January 2025 Fast Data Science presented the open source AI tool Harmony at the second Building AI for Good - Showcase & Meetup on 23 January 2025 organised by Newspeak House.
Above: video of the AICamp meetup in London on 10 December 2024. Harmony starts at 40:00 - the first talk is by Connor Leahy of Conjecture
Image above: the winning teams and participants in the Harmony AI hackathon on 3 June 2024 AI Hackathons: A Playground for Innovation What is an AI hackathon? A hackathon is an event that may last for a day or several days where people collaborate to solve a problem. The word “hackathon” is a portmanteau of “hack” and “marathon”. The first hackathon was held in 1999 by OpenBSD in Calgary, Canada[1]. Initially, hackathons were used for software development problems, but now organisations are running hackathons for a much more eclectic range of tasks, such as planning the marketing strategy of a nonprofit, and now there are AI hackathons.
Transforming data management with Harmony: A hands-on introduction Fast Data Science is excited to be partnering with UK Data Service to deliver a practical workshop on how to best use Harmony for analysing data in the social sciences.
Harmony at Women In Data™️ London Chapter (online event) On 22 November, Thomas Wood of Fast Data Science presented Harmony at Women In Data™️ London Chapter’s event on Application of Generative AI and LLMs. Thomas Wood demonstrated Harmony and how it uses Gen AI.
How to look up UK company data from company names (video) Imagine you have a clients list, suppliers list, or investment portfolio…
Unstructured Data in Healthcare with NLP Introduction In today’s digital healthcare landscape, data plays a pivotal role. However, while medical records, patient feedback, and clinical research generate vast amounts of information, not all of it is easy to manage or analyze. In fact, the majority of this data is unstructured, making it difficult for traditional tools to process effectively.
Fine tuning a large language model refers to taking a model that has already been developed, and training it on more data. It’s a way of leveraging the work that has already gone into developing the original model. Fine tuning is often used to adapt a generalist model for a more specific domain, such as mental health, legal, or healthcare, and in this case it’s also referred to as “transfer learning”.
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