With more than 15 years of experience in EU-funded and commercial projects, Lynkeus successfully carried out several innovations and impacting projects and participated in several proposals.

SIMCor (In Silico testing and validation of Cardiovascular Implantable devices, H2020, 2021 – 2023). SIMCor will develop an open, reusable, cloud-based platform for the in-silico testing, validation and regulatory approval of cardiovascular implantable devices at the service of researchers, medical device manufacturers and regulatory bodies.

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EuCanImage (A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology, H2020, 2020 – 2022). The goal of EuCanImage is to build a highly secure, federated and large-scale European cancer imaging platform, with capabilities that will greatly enhance the potential of artificial intelligence in oncology.

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KRAKEN (BroKeRage And marKet platform for pErsoNal data, H2020,  2019 – 2022). KRAKEN will deliver a trusted and secure personal data platform with state-of-the-art privacy aware analytics methods, enabling the sharing/brokerage/trading of potentially sensitive personal data under the full control of citizens (data subjects) throughout the entire data lifecycle.

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euCanSHare (An EU-Canada joint infrastructure for next-generation multi-Study Heart research, H2020, 2018 – 2022) is a joint EU-Canada project to establish a cross-border data sharing and multi-cohort cardiovascular research platform, including a web-based data access system with functionalities for increased efficiency in cardiovascular data-driven research.

MHMD (MyHealth-MyData, H2020, 2016-2019) is a blockchain-based system for health, which has exerted the function of a technological, ethical and legal sandbox for testing the feasibility, robustness and meaningfulness of a new privacy paradigm allowing to develop “trust-less trust” to facilitate data transactions between citizens, hospitals, research centres, and businesses. It introduced advanced privacy-enhancing technologies based on “bringing the algorithms to the data” with secure computation and generating synthetic data coupled with differential privacy.