The IOTWINS project will deliver large-scale industrial test-beds leveraging and combining data related to the manufacturing and facility management optimization domains, coming from diverse sources, such as data APIs, historical data, embedded sensors, and Open Data sources. The goal is to build a reference architecture for the development and deployment of distributed and edge-enabled digital twins of production plants and processes. Digital Twins collect data from manufacturing, maintenance, operations, facilities and operating environments, and use them to create a model of each specific asset, system, or process. These models are then used to detect and diagnose anomalies, to determine an optimal set of actions that maximize key performance metrics. IOTWINS proposes a hierarchical organization of digital twins modeling manufacturing production plants and facility management deployment environments at increasing accuracy levels: • IoT twins: featuring lightweight models of specific components performing big-data stream processing and local control for quality management operations (low latency and high reliability); • Edge twins: deployed at plant gateways and/or at emerging Multi-access Edge Computing nodes, providing higher level control knobs and orchestrating IoT sensors and actuators in a production locality, thus fostering local optimizations and interoperability; • Cloud twins: performing time-consuming and typically off-line parallel simulation and deep-learning, feeding the edge twin with pre-elaborated predictive models to be efficiently executed in the premises of the production plant for monitoring/control/tuning purposes

Tendinopathies and osteoarthritis (OA) are extremely common and these injuries associate with high health and socioeconomic costs, long-term postoperative rehabilitation, and loss of productivity. To date, none of the existing surgical or non-surgical alternatives have provided a successful long-term effect, and often the treated tissues do not restore their complete strength and functionality. To fill the critical gap of proper treatments TRiAnkle proposes to develop 3D bioprinted scaffolds based on collagen and gelatine, functionalised with stem cells and/or nanoencapsulated regenerative factors. The surgical implantation of these new functionalised biomaterials will enable the targeted delivery of the mentioned biologically active agents to promote cell growth and differentiation to enable better and faster regeneration of injured collagen-rich tissues like articular cartilage, ligament and tendon of the ankle. Two case-studies will be implemented: the partial rupture (>50%) of Achilles tendon and osteochondral cartilage injuries, which will serve as a technological platform to deliver new regenerative therapies for any other articular, tendinous or ligament diseases of weight-bearing joints. By achieving this goal, TRiAnkle will enable, in comparison with current surgical treatments: - To increase by 10-15% of the ankle joints functionality recovery ratios due to the presence of pro-regenerative components that promote the healing process decreasing also the risk of re-rupture or recidivation. - To reduce the recovery time and the associated healthcare costs up to 50% due to the use of scaffolds that mimic the natural structure and mechanical properties of joint tissues. TRiAnkle will be implemented by a multidisciplinary team made up of biomaterial production companies, manufacturing technologies experts, material engineers, preclinical validation centers, healthcare professionals, patients associations and experts in ethical, regulatory and exploitation.