NEXT GENERATION EU
KEY ENABLING TECHNOLOGIES

GEMINI: project for stroke treatment

The actions of the European project GEMINI officially started, funded by the European Union under the HORIZON program.

The project, lasting for 6 years, aims to create a new approach to revolutionize the treatment of patients affected by cerebral strokes. A digital twin will be developed to simulate the various possible treatments for a patient suffering from ischemic stroke or cerebral haemorrhage, thereby guiding clinicians in making the best therapeutic choices.

The team from the Politecnico di Milano, the Italian lead of the project, consists of researchers from the Laboratory of In Silico Medicine of the Department of Chemistry, Materials, and Chemical Engineering ‘Giulio Natta’, who boasts extensive experience in the field of numerical simulation of medical devices.

The anticipated contribution will lead to the development of a digital tool based on results obtained from computer simulations, allowing for a detailed study of various phases of clinical treatment, such as the removal of blood clots from cerebral vessels and the possible fragmentation that may occur.

The project has received funding of 10 million euros, involves 19 partners, and will be coordinated by the University Medical Center of the University of Amsterdam. The countries involved are: France, Germany, Ireland, the Netherlands, Poland, Taiwan, Spain, the United States, Switzerland, and Hungary.

iBeChange project kicks off

iBeChange (Addressing Psychosocial and Lifestyle Risk Factors to Promote Primary Cancer Prevention: An Integrated Platform to Promote Behavioural Change) kicks off: the project funded by the European Union under the Horizon Europe programme aims to design, develop and test an innovative platform, a user-oriented management system that enables people to behave in healthy and sustainable ways.

A working team from the Department of Electronics, Information and Bioengineering of the Politecnico di Milano, coordinated by Prof. Francesco Trovò and Prof. Emilia Ambrosini, will participate in the project together with experts in clinical and health psychology, oncology, epidemiology, ICT, data science and health policy.

The project will combine practice-based and evidence-based knowledge from clinical psychology and behavioural change theories with the potential of adaptive digital technologies and artificial intelligence. Therefore, the iBeChange system will be able to dynamically observe, learn from user behaviour and provide personalised and effective healthcare interventions. The iBeChange project aims to help achieve the objectives of the European Plan Against Cancer and the European Code Against Cancer by improving long-term primary cancer prevention through information, support and empowerment of EU citizens.

The project consortium includes universities (University of Palermo, TU Eindhoven), medical institutes (European Institute of Oncology, Institut Catala d’Oncologia) and industries (Eurecat, Sporedata).

Agriculture: changing animal feed reduces consumption of natural resources

A study published on the cover of Nature Food, the result of a collaboration between Politecnico di Milano and the University of Milan, highlights how the increased use of by-products in the feed sector (secondary products derived from the processing of primary crops such as cereals and sugar) in a circular perspective can lead to significant savings in the use of land and water resources and thus to more sustainable agri-food systems.

Underlying the work, signed by Camilla Govoni and Maria Cristina Rulli from Politecnico di Milano, Paolo D’Odorico from University of California at Berkeley and Luciano Pinotti from University of Milan, there is a thorough analysis and a search for strategies to reduce both the competition for natural resources between animal and human food production, and the unsustainable use of natural resources.

Not only does the use of agricultural by-products in animal diets decrease competition between sectors and pressure on resources, but it would also increase the availability of calories that can be directly earmarked for the human diet (eg cereals); if the saved resources are used for other purposes, including the production of plant foods lacking in current diets, it would improve food security in several countries, with healthier as well as more sustainable food choices

Camilla Govoni, researcher at the Department of Civil and Environmental Engineering

The study shows that an 11-16% substitution of energy-intensive crops currently used as animal feed (eg cereals) with agricultural by-products (eg cereal bran, sugar beet pulp, molasses, distillery residues and citrus pulp) would save approximately between 15.4 and 27.8 million hectares of soil, between 3 and 19.6 km3 and between 74.2 and 137.8 km3 of irrigation and rainwater.

The inter-sectoral decrease in the demand for cereals is of particular relevance at a time when the supply of these crops is facing serious shortages due to the combination of the ongoing war between Russia and Ukraine, the residual effects on the food supply of the Covid-19 pandemic, and a drop in harvests caused by increasingly frequent extreme events such as floods, droughts and heat waves induced by climate change.

Maria Cristina Rulli, Professor of Hydrology and Coordinator of the Glob3ScienCE Lab

Disegno di Laura Capellini

3D personalized model of biliary tract cancer

It is only a few centimeters in size and can be held between two fingers, but in the micro-channels carved inside it, it’s hidden a three-dimensional and highly faithful model of a biliary tract cancer called cholangiocarcinoma, complete with its tumor microenvironment.

This 3D model is built starting from a sample of patient’s cancer cells and thus it represents a patient-specific “organ-on-chip”: a technology made possible only through a multidisciplinary approach that merges biomedicine, physics and engineering.

The innovative prototype is the result of the collaboration between Ana Lleo De Nalda, Full Professor at Humanitas University and head of the Hepatobiliary Immunopathology Laboratory at Humanitas Research Hospital, and Marco Rasponi, Associate Professor at Politecnico di Milano and head of the Laboratory of Microfluidics and Biomimetic Microsystems.

The study was made possible thanks to the collaboration with the group of Prof. Guido Torzilli, Director of the Department of General Surgery and head of the Hepatobiliary Surgery Unit of the IRCCS Istituto Clinico Humanitas.

The ultimate goal of the device is to accelerate research on cholangiocarcinoma by providing a new laboratory model that better mimics what we observe in patients. At the same time, it will help advancing precision medicine, since it could be potentially used as a personalized drug-testing platform, helping predict patients’ response to therapies.

Ana Lleo and Marco Rasponi

The study was funded by AIRC – the Italian Foundation for Cancer Research, and was published in the Journal of Hepatology Reports.

What is cholangiocarcinoma

Cholangiocarcinoma is a rare cancer of the liver (it affects about 5,500 people in Italy alone, each year) and it derives from a malignant transformation of cholangiocytes, the cells lining the biliary tract.

Unfortunately, the disease is often diagnosed at an advanced stage, because patients show very few symptoms. This is also why treatments are often ineffective: at the time of diagnosis, only 10-30% of patients are eligible to undergo surgical removal of the tumor.

Precisely because of the reduced therapeutic options and high mortality of cholangiocarcinoma, we need new in vitro models that can recapitulate the characteristics of the disease and in particular the interaction between tumor cells and cells of the immune system, which play a key role in its progression and response to drugs.

Ana Lleo

A 3D platform for advancing research and personalized medicine

Now, for the first time, researchers from Humanitas and Politecnico di Milano developed a personalized 3D model of the disease.

It is a microfluidic chip a few centimeters in size. Inside the device, in the micrometer channels realized using advanced photolithographic techniques, we seeded cancer cells sampled from patients affected by cholangiocarcinoma. The cells successfully reproduced the tumor architecture in vitro.

Marco Rasponi

In a series of experiments, the team of researchers demonstrated that the device faithfully recapitulates what we observe in individual patients, both in terms of T-cell activation, that correlates with tumor infiltration, and in terms of therapeutic response to different drugs, based on the characteristics of cancer recurrence.

We are very happy with the result obtained, which was only possible thanks to the combination of different expertise and knowledge.

The next steps will be to further optimize and improve the device, both as a research model and as a personalized drug-testing platform.

Ana Lleo and Marco Rasponi

We want to add cells of innate immune system, such as macrophages, which play an important role in tumor progression, and introduce micro-pumps that can mimic blood flow and vascularization. We also need to test it on larger groups of patients, to confirm its ability to recapitulate the phenomena we observe in the clinical setting.

SCO2OP-TES: revolutionizing energy storage

To revolutionize energy storage in the transition towards renewable energy sources. It is the aim of the Horizon Europe project SCO2OP-TES, which will lead to the development and validation of an innovative “Carnot Battery” configuration.

The project will last four years and have a total budget of approximately 4.7 million euros. It will involve Professor Giacomo Persico of the Department of Energy together with his team, as well as 16 partners from 10 European countries.

The SCO2OP-TES initiative is part of the European Union’s strategy to reduce emissions in the energy and industrial sectors, aligned with the recent REPowerEU Plan, aiming to achieve an installation of renewable energy capacity of 1236 GW by 2030.

Our involvement in this project is a significant step towards the development of innovative solutions for energy storage.

Giacomo Persico

Europe faces the challenge not only of efficiently converting large amounts of energy from renewable sources but also ensuring stability in energy supplies and continuous utilization throughout the year. Current storage solutions, such as batteries and power-to-hydrogen systems, are currently insufficient to cover specific flexibility services in the electrical grid, services that only energy systems based on direct and reverse thermodynamic cycles operating with turbomachinery can provide.

The SCO2OP-TES project aims to develop and validate the next generation of ‘Power-to-Heat-to-Power‘ (P2H2P) energy storage solutions.

The focus is on the development of a new type of “Carnot Battery, based on the combination of direct and reverse thermodynamic cycles operating with supercritical carbon dioxide. This system can harness heat from renewable thermal sources or waste heat from industrial processes and power plants in the energy storage process. This ensures a very high energy efficiency during charging and discharging, making the interaction between industrial plants and the electrical grid more effective.

The project aims to design, build, and test a pilot plant to validate the technology in an industrially relevant environment before studying its application in large-scale installations.

The Politecnico research group’s contribution will be crucial: developing and providing innovative techniques based on Artificial Intelligence for the design and optimization of turbomachinery installed in the system operating with supercritical CO2 at high temperatures.

The study will lead therefore to the creation and experimental validation of highly innovative machines, significantly impacting the future success of long-term and large-scale energy storage systems.

Collaborating with other European partners will allow us to develop, apply, and validate the Artificial Intelligence techniques we have been working on for years for the project and the multidisciplinary optimization of turbomachinery operating with supercritical CO2, contributing significantly to the transition towards large-scale renewable energy sources.

Electricity: how to take advantage of the heat generated by industrial processes?

The current need to reduce pollutant emissions and mitigate the effects of climate change calls for innovative avenues in the field of electricity production. Paradoxically, in industry, significant amounts of heat are lost to the environment by energy-intensive processes such as those in glass, cement, metals, paper and food. This neglected resource could instead represent a significant contribution to decarbonisation, with an estimated potential of 5% of the EU’s total electricity needs. This is equivalent to the electricity consumption of 20,000,000 households or the production of 19 large power plants.

Exploiting this possible energy source is the objective of the POWHER project, coordinated by Prof. Andrea Spinelli and Prof. Alessandro Romei of the Department of Energy at Politecnico di Milano and financed by the European Union (Next Generation Europe) within the framework of the Research Projects of Significant National Interest (PRIN – MUR).

Exploiting waste heat from industry is crucial for a sustainable energy future. POWHER aims to turn this potential into reality with innovative solutions.

The approach used by the POWHER project is based on Organic Rankine Cycles (ORCs), a technology similar to traditional steam cycles which uses the vaporisation of an organic fluid instead of water. This choice allows the construction of simpler and cheaper systems with good conversion efficiencies.

The focus of researchers at Politecnico di Milano and the University of Bologna is the implementation of Partial Evaporation Organic Rankine Cycles (PE-ORCs), an innovative version of ORCs. This solution could increaseefficiency by up to 30% through incomplete evaporation of the organic fluid. Both theoretical and experimental studies will focus on overcoming the challenges that have so far hindered the adoption of this technology: the development of efficient turbines for two-phase (liquid-vapour) fluids and the optimisation of plant control strategies.

The experimental activities will take place at the Test Rig for Organic VApors (TROVA) at Politecnico di Milano, one of the few experimental apparatuses in the world suitable for studying the motion of organic fluids at high speed and temperature.

The POWHER project thus promises to be an important step towards a sustainable energy future, making innovative use of an often neglected resource and paving the way for efficient power generation solutions.

Chemistry and crystals: new perspectives for therapy and cosmetics

A work conducted by the SupraBioNanoLab at the Department of Chemistry, Materials and Chemical Engineering ‘Giulio Natta’ of the Politecnico di Milano demonstrated how the combination of supramolecular chemistry and crystallography can be used to design hydrogels with specific characteristics. The research was published on the cover of the journal Chemistry – A European Journal.

The study focused on an amino acid called Fmoc-pentafluoro-phenylalanine, which effectively turns into a gel in water. The researchers examined the behaviour of this molecule in the presence of other substances, including bioactive molecules such as vitamin B3, which establish strong attractive interactions with its reactive groups.

The key to the research was the determination of the crystal structure of the complex through X-ray diffraction, which allowed us to predict the properties and consistency of the resulting gel. This also allowed us to modulate the release of the partner molecule from the gel itself,

Professor Valentina Dichiarante

Experimental results have shown that the interactions between the amino acid and partner molecules are identical both in the formation of a crystalline complex in the solid state and in the creation of a gel in an aqueous solvent.

This scientific breakthrough opens up new perspectives for the selective and targeted design of mixed hydrogels. The supramolecular interactions between the solid-phase components allow the strength and structure of the gel to be modulated, creating an ideal matrix for the controlled release of active substances, with possible therapeutic or cosmetic applications,

Professor Pierangelo Metrangolo

Metasurfaces for ultra-fast light switching and sensor technology

One of the goals of optics is to realise ultra-fast devices capable of transmitting and manipulating information with switching times limited only by an optical cycle of light (thousands of attoseconds). This is possible by exploiting ‘non-linear’ optical processes, in which an optical signal is altered by the presence of a second light stimulus; these processes require mediation by specific materials.

A group of researchers from the Department of Physics of Politecnico di Milano used a metasurface, i.e., a two-dimensional matrix less than a micron thick – a hundred times thinner than a hair – composed of ‘meta-atoms’, elements smaller than the wavelength of light. The research, coordinated by Professors Michele Celebrano and Marco Finazzi and published in Nature Nanotechnology, demonstrates how a metasurface, by exploiting interference between nonlinear optical processes, is able to perform true optical switching of emitted light, converting incident infrared light into visible light and offering the possibility, in principle, of processing information at the rate of one trillion bits per second.

Over the past decade, metasurface research has been revolutionising the field of optics and is a cornerstone of the new EssilorLuxottica Smart Eyewear Lab, the research centre in collaboration with Politecnico di Milano for the design of the smart glasses of the future.

Innovative, eco-friendly and recycled materials to improve energy efficiency

The M-TES (Metallic Phase Change Material-Composites for Thermal Energy Management) project, led by Politecnico di Milano and funded by the European Innovation Council (EISMEA) under the Pathfinder action “Mid to Long Term and Systems Integrated Energy Storage”, has kicked off.

In the next three years, the project aims to address energy-saving challenges by focusing on heat recovery, storage, and heat management in processes involving the production or re-use of energy in the form of heat.

The objective is to develop eco-friendly and cost-efficient materials for thermal energy storage and management, leveraging the heat stored or released during the phase transition of Phase Change Materials (PCM). The innovation lies in the creation of metallic phase change material-composites (m-PCMs), where structural and PCM metals are integrated into a single body. These m-PCMs offer both thermal functionality and mechanical structural properties. Furthermore, the project will explore the processing of these m-PCM composites to achieve shapes and performance characteristics suitable for future applications in the energy and industrial sectors.

The research will be coordinated by Professor Elisabetta Gariboldi, with Andrea Lucchini as Vice-coordinator, and will involve researchers from the Department of Mechanical Engineering and the Department of Energy. The M-TES consortium includes Consiglio Nazionale delle Ricerche (ICMATE), Łukasiewicz – Krakow Institute of Technology (Poland), and The University Otto Von Guericke in Magdeburg (Germany).

Artificial intelligence for accessibility in historic centres

Using Artificial Intelligence systems to identify, especially in historic city centres, the most accessible routes for elderly people and people with motor disabilities: this is the aim of the research work of Daniele Treccani, a young researcher at the Unesco Research Lab in Mantua of Politecnico di Milano.

The research, published in the International Journal of Applied Earth Observation and Geoinformation, used a mobile mapping system (in this specific case, a car equipped with instrument provided by Leica Geosystems Italia) for surveying and mapping the small town of Sabbioneta, which has been, together with Mantua, a UNESCO World Heritage Site since 2008 and is an emblematic example of a Renaissance village enclosed within historic walls. 

Machine Learning was used to automatically detect the differences between streets and pavements made of pebbles, cobblestones and bricks, with widely varying heights and widths, which on the one hand distinguish and are typical of historical cities and on the other hand make moving difficult for people with motor disabilities. The good reliability rate of the data obtained (89%) was verified on site; this allowed using it for designing a map of the most accessible routes

Starting from the collected data or point clouds, namely millions and millions of points distributed in the surveyed space that allow us to obtain measures and three-dimensional representations of what surrounds us, for instance houses, streets, squares, pavements and various objects, it is possible to identify, with the help of Machine Learning, the most accessible trajectories and paths in a historical urban context. The work on Sabbioneta made it possible to test and demonstrate the importance of AI methods for managing accessibility in historic city centres.

Daniele Treccani, researcher of the Department of Architecture, Built Environment and Construction Engineering

The automatic extraction of geometric and space georeferenced information can be extended to other urban elements and be used for tourism accessibility and navigation applications, as well as for the creation of map bases for Plans for the Elimination of Architectural Barriers (PEBA) or Urban Accessibility Plans. More in general, the data collected and processed can be useful for the construction of City Models and digital models of historic city centres.

Daniele Treccani is currently working on extending his research to data from other urban survey systems, such as UAS (drone) photogrammetry, laser scanner survey systems from aircrafts or with portable systems (backpacks or handheld), and continues his collaboration with the University of Vigo (Spain), with which he carried out part of the research.

Machine Learning (ML) allows a complex neural network attempting to simulate the functioning of the human brain, to “learn” from a large amount of data previously structured by an operator. After the learning phase, it is possible, through a combination of inputs, to recognise and classify objects within the data, automatically and with no human intervention.

Andrea Adami, Professor of Topography and Cartography

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