Sarah Beeby has joined Clinithink as Senior Vice President of Life Sciences where she will be responsible for introducing new technology, in particular AI, to Lifescience projects.

Sarah has over two decades of experience in the global life sciences space and brings a wealth of experience in life sciences having worked in a range of diverse roles. Sarah also has a wide range of operational, therapeutic and regulatory expertise with a focus on collaborative working opportunities to enhance delivery and patient experience. Sarah’s experience as a management team member at exec and board level has covered investment, strategy and operational efficiency and delivery of products and services.

Prior to joining Clinithink Sarah was MD of Synexus and, utilised technology and collaborative working relationships to enhance delivery, profitability and the patient experience in research. She was also pivotal in negotiating a contract between Synexus and the Northumbria Healthcare NHS Foundation Trust. Together they established the North East Clinical Research Centre at Hexham General Hospital; a particular exciting partnership as it was the first of its kind between a private company and the NHS.
Discussing the new role Sarah said: “We hear a lot about the potential of technology and how disruptive technology can bring about a host of benefits. Often, however, there is a disconnect between what is possible and what the market needs. I am really excited to join Clinithink as they are at the forefront of what is possible. Recently our software helped achieve a GUINNESS WORLD RECORDS title in partnership with the Rady Institute for Genomic Medicine for the ‘Fastest genetic diagnosis’ by successfully compressing the time needed to diagnose rare genetic disorders in newborns through DNA sequencing. Not only did this exciting project prove the value of our technology, the humbling reality is that this work can help save the lives of children with rare diseases. That really isn’t a bad day at the office.”

Clinithink’s patented CLiX natural language processing (NLP) solution was needed for two key activities in the process: quickly combing through electronic medical records to extract crucial phenotype information to then compare with over 12,000 phenotypes (plus an additional 15,000 synonyms) describing the characteristics of thousands of rare diseases. The solution can perform both of these tasks in seconds compared to the hours or days it would take a highly skilled specialist physician to do.

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