Health
The concentrations of inflammatory markers will be measured by EliChipTM, a microfluidic platform of Trustech, and the concentration of NO (nitric oxide) with a specially developed Lab on Chip (LoC). The results will be stored and standardized in a Data Base (DB) created ad hoc and designed for future developments aimed at diagnosis and personalized medicine. During YOGA, the DB will be populated with data from the laboratory environment and sensitivity and study analyzes will be performed to study behaviors and relationships between tissue and therapeutic characteristics to develop a model capable of replicating in vitro experiments and being able to predict the efficacy of a therapy.
Osteoarthritis is a disabling pathology that is very common among the elderly. YOGA is the first step of a broader path that aims to identify personalized therapies by coupling in vitro diagnostics and artificial intelligence. In YOGA, a complex cell culture system will be developed to simulate the cartilaginous tissue in view of its use with biopsies in physiological, proinflammatory environment and treated with regenerative hydrogel.
The ambition of YOGA is the realization of a semiautomated and standardized platform to be used in any clinical laboratory for tissue characterization by biopsy when very little material is available. The application to osteoarthritis is intended to provide a comprehensive, versatile and scalable model that can be easily adapted to other diseases. The innovation is the integration with the digital platform to accommodate and analyze large amounts of data, through advanced machine learning algorithms.
Implementation of easy-to-use platform for preventive medicine based on machine learning algorithms, designed to be used by personnel without specific mathematical-computer expertise (physicians, analytical laboratory). EliChipTM data analysis and micro-fluidic modeling.
TRUSTECH DIAGNOSTICS SRL | ENGINSOFT SPA
The project YOGA has received funding from Cascade funding calls of NODES Program, supported by the MUR - M4C2 1.5 of PNRR funded by the European Union - NextGenerationEU (Grant agreement no. ECS00000036). | Call identifier: Cascade funding – Linea A Spoke 5, CUP no. C13C22000420001.
Some of our competences in research and technology transfer
Research project
Il progetto “TEMART - Tecnologie e materiali per la manifattura artistica, i Beni Culturali, l’arredo, il decoro architettonico e urbano e il design del futuro” ha l’obiettivo di migliorare i prodotti dei settori citati (funzionalità ed estetica) mettendo a loro disposizione le diverse tecnologie che sono presenti nella RIR M3NET.
Research project
The initiative is set to transform the European remanufacturing industry by addressing its current limitations and setting new standards for human-centric innovation. It aims to develop and demonstrate a novel remanufacturing paradigm which is inherently safe for humans, target-driven in regeneration and certification, flexible in handling post-use parts variability, and robust for replication in new circular business cases. To achieve these objectives, rEUman partners will develop cutting-edge remanufacturing approaches and integrate them into the value chains.
Research project
OPTIMA is an SME-led project that aims to harness and optimize several industrial applications and a set of open source libraries. These will be used in at least three different application domains on two new HPC systems populated with FPGA integrated circuits and using several innovative programming environments.