APRIL project aims at implementing and deploying market oriented, low cost and multipurpose robots that supports semi-automatic tasks in manufacturing production lines that use flexible or deformable materials in industries of any size or domain. APRIL will use fine grasping, innovative computational vision technology, gathering of sensors’ information, as well the development of modular and different middleware layers and interfaces. APRIL will provide innovative sensoring and computational vision supporting detection of slips, estimate weight, dynamic center of mass, or regulating grasping forces while manipulating deformable objects of different types (e.g. paper, chicken breast, shoes’ insoles, viscoelastic textile materials, cables, etc.). A federated approach, wireless communication, usage of multipurpose hands and placement of various sensors, will connect all robots to a cloud based knowledge base that will contain the needed information to perform the different jobs. APRIL system will be deployed in six different demonstration use cases across Europe. Robots integrated in the manufacturing processes will operate on several critical steps that affect production, packing and quality assurance on the different manufacturers involved as pilot sites. On one hand, introduction of APRIL system will produce an expected increase on safety and related health conditions of working environments. On the other hand, APRIL will enable an increase on productivity and quality of the final products; thus leading to a greater competitiveness of European industry. The project will be implemented in 40 months by 15 partners from 8 European countries.

Hospitals and care centres are prime targets for cyber criminals, especially concerning data theft, denial-of-service and ransomware. This reflects the need of Healthcare Institutions for a Holistic Cyber Security vulnerability assessment toolkit, that will be able to proactively assess and mitigate cyber-security threats known or unknown, imposed by devices and services within a corporate ecosystem. SPHINX aims to introduce a Universal Cyber Security Toolkit, thus enhancing the cyber protection of Health IT Ecosystem and ensuring the patient data privacy and integrity. SPHINX toolkit will provide an automated zero-touch device and service verification toolkit that will be easily adapted or embedded on existing, medical, clinical or health available infrastructures, whereas a user/admin will be able to choose from a number of available security services through SPHINX cyber security toolkit. The SPHINX toolkit will enable service providers to specify complete services and sell or advertise these through a secure and easy to use interface. SPHINX Toolkit will be validated through pan-European demonstrations in three different scenarios. The operational properties of the proposed cyber-security ecosystem and overall solution will be validated and evaluated against performance, effectiveness and usability indicators at three different countries (Romania, Portugal and Greece). Hospitals, care centers and device manufacturers participating in the project’s pilots will deploy and evaluate the solution at business as usual and emergency situations across various use case scenarios.

Though difficult to quantify, the variety of possible ID document frauds at borders is a reality that threatens politicians holding responsibility for borders as well as EU citizens. Based on the needs expressed by practitioners, the iMARS consortium has shaped a project that will: 1/ improve the operational capacity of passport application and border control operators by providing both - short-term adhoc solutions ensuring reliable passport application procedures - and mid-term solutions with no-reference and differential analysis solutions that can in particular detect manipulated and morphed passport images as well as document fraud. iMARS will provide: • Image morphing and manipulation attack detection solutions to assess ID documents validity against document fraud, during enrolment and renewal steps, as well as at the border crossing stations • Document verification and fraud detection solutions to support border guards in the verification process by providing mobile tools that can check document’s integrity To reach the targeted TRL6, these technologies will be validated in laboratory conditions using operational data collected from six border control sites (with border to countries outside EU). 2/ ensure the uptake of its outcomes after the project’s end. iMARS will: • promote usability/ergonomic aspects by providing training, guidelines and best practices to border guards and passport application officers • contribute to the ongoing standardisation efforts in the field of Presentation Attack Detection and face image quality • provide open access benchmarks (2 datasets with multiple enrolment morphed face images and border gate probe images) on a specific testing platform serving follow-on research activities • ensure that the technologies developed are accepted by citizens and respect privacy and legal EU regulations.

The PharmaLedger project will create a blockchain-based framework for the efficient digitization of the healthcare industry. The goal of the project is to provide a widely trusted platform that will support the design and adoption of blockchain-enabled healthcare solutions while accelerating delivery of innovation that will benefit the entire ecosystem, from manufacturers to patients. PharmaLedger will serve as a single source of truth for the healthcare ecosystem and will be designed for efficient decentralized governance, wide adoption by the stakeholders of the ecosystem, compliance with extant and emerging standards and regulation, and end-to-end connectivity and interoperability. Sustainability of the platform will be ensured by leveraging existing, successful blockchain technologies; open source reference implementation; and a fully documented, actionable methodology for evolutionary digitization of the healthcare industry. The project will address the key challenges of the healthcare ecosystem through prioritized delivery of applications and validation of business use cases, including but not be limited to end-to-end product tracking for combating counterfeit medicines and medical supplies; supply chain integrity; efficiency of recruitment and submission in clinical trials; and machine-learning health data marketplaces. The platform will support integrated use of medical devices across the use cases. The PharmaLedger project brings together 28 partners from 10 EU Member States, including 11 large pharmaceutical companies; highly innovative technology SMEs specializing in blockchain development, security, privacy and business intelligence; universities and research institutes specializing in pharmacoeconomic analysis, research of patient requirements, big data analytics and electronic health records; leading clinical trials companies; supply chain partners; patient representatives; and leading healthcare service providers.