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Capgemini develops new AI solution to advance the treatment of River Blindness

Winning solution from Capgemini's internal competition aims to speed up clinical trials and reduce time-to-market for future treatments

www.capgemini.com, Nov. 21, 2022 – 

PARIS, November 21, 2022 – A team of experts at Capgemini, in collaboration with University Hospital Bonn and Amazon Web Services, has developed an artificial intelligence (AI) model that will accelerate the speed of clinical trials aiming to establish new treatments for River Blindness, a neglected tropical disease which affects over 20 million people globally[1]. Currently, the specialist work of clinical trials can only be carried out manually by a handful of global experts, so the winning model could save years of work and speed up the development of new treatments.

The India-based winning team developed a model which harnesses deep learning technology to identify the larvae worm that causes River Blindness, using images from existing clinical studies. In total, over 70,000 sections of clinical data were utilized to train the AI, leading to the creation of a model that can identify worm sections in microscopic images with almost 90% accuracy. The ability to automate such a high proportion of the required analysis will unlock the potential of faster and more consistent assessment of the efficacy of new drugs, which could save the eyesight of sufferers worldwide.

The solution was developed as part of Capgemini's annual Global Data Science Challenge for a sustainable future (GDSC), a company-wide initiative where every employee is given the opportunity to deploy their data and AI expertise towards solving a critical global challenge. This year, the GDSC saw teams from Capgemini, in collaboration with Amazon Web Services, and The Institute of Medical Microbiology at The University Hospital of Bonn tackle the growing problem of River Blindness, which primarily affects communities in Sub-Saharan Africa.

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