R&D study
In order to offer the most innovative test approaches to its customers and to meet the challenges of modern system validation, Kereval places a strong emphasis on research and development, with more than 15% of its activity dedicated to innovation.
Advances in cybersecurity and interoperability test engineering are applied to areas such as mission-critical systems, smartcity, autonomous vehicles, software defined radio and artificial intelligence systems.
i2X – Connecting EU Health Data
Intelligent Implementations of the European Electronic Health Record Exchange Format (EEHRxF).
i2X aims to support the digital transformation of healthcare systems by improving how health data is exchanged – both within national borders and in cross-border interactions with the EU – without adding burden to healthcare professionals. Through in-service testing at demonstration sites in 12 EU Member States, i2X will show how digital tools can enable better care, better outcomes, and a more connected health ecosystem.
Co-funded by the European Union, i2X contributes directly to the vision and goals of the European Health Data Space (EHDS) and supports the rollout of MyHealth@EU services.
With the financial support of the European Union
myHealth@myHands – For borderless access to healthcare data in Europe
The myHealth@myHands project aims to ensure that all EU citizens have secure online access to their medical records, simplifying health management. Thus, the project empowers individuals by granting them control over their health data and allowing them to determine who can access it.
By integrating existing healthcare infrastructures with MyHealth@EU services, we aim to enhance data interoperability and facilitate seamless healthcare experiences across the EU. Our focus is on developing user-friendly, secure, and flexible eHealth solutions, designed with a user-centred approach to ensure effective implementation and scaling.
We are also establishing a knowledge hub to disseminate best practices and support collaborative efforts within the healthcare community.
With the financial support of the European Union
PenelopAlgo – Better targeting of patients for clinical trials
The PenelopAlgo project aims to facilitate the mobilization of health data in order to improve patient targeting for clinical trials. It addresses the issue of low patient recruitment rates in clinical studies – which hinders the validation of new therapies – and insufficient access to clinical trials as a treatment option.
This project is led by AP-HP, in partnership with Limics (Laboratory of Medical Informatics and Knowledge Engineering in e-Health) and Kereval. It aims to develop and evaluate innovative targeting algorithms to identify patients eligible for clinical trials, based on hospital datasets. Use cases will focus on ENT and colorectal cancers.
With the financial support of the French Health Data Hub
Santé2Fair assesses the fairness of AI models applied to oncology
The Santé2Fair project aims to develop a methodological framework for assessing the fairness of artificial intelligence (AI) models and associated health data, with an initial application in oncology, using clinical and imaging data from the National Health Data System (SDNS). It is based on two areas of focus: the design of a detailed-but generic-methodology for analyzing statistical and algorithmic biases in AI systems in the healthcare field, and a multi-level strategy for mitigating biases.
With financial support from the Health Data Hub
LDT4SSC – Developing digital twins of territories in Europe
The European LDT4SSC (Local Digital Twin for Smart & Sustainable Communities) project aims to develop a shared and scalable European network of local digital twins.
Digital twins of territories function as true virtual representations of those territories. They enable different scenarios to be simulated before decisions are made, performance to be evaluated, the effects of public policies to be anticipated, and urban planning and resource management to be optimized.
The project is based on pilot projects in real-world conditions, using AI in an open, ethical, and citizen-centered way, while promoting interoperability and the emergence of a European ecosystem of services.
With the financial support of the European Union
Industrial project
Kereval participates in collaborative R&D projects and offers CIFRE theses. Progress on the work is regularly published at national and international conferences.
Research project
Kereval proposes to partner training courses to participate in industrial projects on the themes of innovation of the company allowing the students a better understanding of industrial problems.
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