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AI & DATA VISUALISATION
ARTIFICIAL INTELLIGENCE EMPOWERING
OUR SOLUTIONS AND DATA SERVICES
Our Data Science and software engineering teams continuously develop advanced features to create better user experience and improve productivity in our software solutions for clinical research (smart search engines, automated classification of trial documents, assisted coding etc,.).
Unstructured data becomes meaningful!
Thanks to our AI pipeline and our standards-based clinical database aggregating data from multiple sources (eCRFs, medical imaging, data, laboratory data etc …), we can propose advanced data processing based on machine learning and advanced statistics. We make your data a real lever to grow your business.
A LEADING POSITION AND
AN INTERNATIONAL DEPLOYMENT
64 +
countries
involved
20 000 +
investigational
Centres
3 million +
patients
in database
50 000 +
users
worlwide
LATEST NEWSOUR NEWS >
December 19, 2024
2-4 February 2025 – Copenhagen | Booth 21 We’re thrilled to showcase CleanWeb™, our advanced eClinical Suite for managing Clinical Trials, Registries, and Managed Access Programs. With 20+ integrated modules, CleanWeb™ simplifies research and drives innovation. Meet our team and discover how we can support your upcoming clinical projects. Alongside our CRO Alliance partners (CERC, […]
UK Announces New Research Hubs to Boost Clinical Trials and Advanced Treatments: The Southampton Hub
December 19, 2024
Trial Site News The United Kingdom (UK) government has announced a £100 million public-private investment to establish 20 research/trial site hubs across the country, a move aimed at bolstering clinical trials and advancing treatment access. This initiative, part of the Voluntary Scheme for Branded Medicine Pricing, Access and Growth (VPAG) Investment Programme, is a collaboration between the […]
December 19, 2024
Med City News LLMs bring great potential to help the healthcare industry center care around patients’ needs by improving communication, access, and engagement. However, LLMs also present significant challenges associated with privacy and bias that also must be considered. Large language models (LLMs) have generated buzz in the medical industry for their ability to pass […]