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5,008 Projects, page 1 of 501

  • European Commission
  • 2018

10
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  • Open Access mandate for Publications
    Funder: EC Project Code: 809764
    Overall Budget: 71,429 EURFunder Contribution: 50,000 EUR
    Partners: ALKION BIOINNOVATIONS

    Plants compounds have been used for ages as food additives & flavors. Chemistry has offered solutions on the last 30 years to produce simple and low cost compounds, but some have been now considered as dangerous (glucose-fructose) and even toxic. Food safety and quality have been a big issue for consumers for which natural products demand is bombing. Food industry requires now innovative solutions to produce natural compounds at a competitive price with sustainable technologies but also to find natural solution to cope with obesity and diabetes for which they look responsible for. One of the most exciting solutions is in-vitro propagation of plants inside bioreactors. This field once too limited in yield or too expensive has reached new horizons thanks to Alkinnov’s technologies supported by a team of world renowned scientists and executed by a brilliant R&D team. Alkinnov, after having obtained exceptional results in Cosmetics, has improved its technological platform to enter the food additives & flavors markets. Its new bioreactor “Alkaburst 2.0” has been designed and patented to produce high volumes production where cost can be divided by a factor of 50 to first target unsuppliable natural expensive sweeteners & flavors. Indeed the performance of production yields can reach up to 1000 times the ones on soil today with room for improvement using A.I. and biostimulation. The project focuses on the development of a 100t/year pilot plant for 5 major food addition/flavors to reshape the consumption of the natural compounds in food. In addition, the technology has been validated for 70 other leaves, shoots & root varieties and has the potential to support in-vitro cultivation of any plant plant tissue, covering numerous applications in pharmaceuticals, fragrances, pest-control, phyto-protection and food additives, among others.

  • Open Access mandate for Publications
    Funder: EC Project Code: 658025
    Overall Budget: 195,455 EURFunder Contribution: 195,455 EUR
    Partners: University of Southampton

    A large portion of the coastal population worldwide, including Europe, is already vulnerable to extreme high sea level events. In the future it is expected that climate change will increase coastal flood risk making costly adaptation inevitable. In order to help develop robust and flexible coastal management strategies, decision makers need to explore how, when, and where future changes in the physical environment will require immediate action. This is aggravated by the existence of large uncertainties in climate projections. Impact assessment models, such as the Dynamic Interactive Vulnerability Assessment (DIVA) model, have been used extensively to assess the socio-economic impacts associated with coastal flooding under climate change and to explore the benefits of mitigation, adaptation, and migration. However, because the DIVA model is applied at broad scales, it is based on a number of significant assumptions. Most notably, present-day return water levels (one of the key forcing parameters in the model) were derived using a simple global approach. Moreover, decadal variations in storminess and associated changes in future return water levels were ignored. Storm surges and river floods were assumed to be fully independent and vertical land movement rates were approximated with a global glacial isotactic adjustment model ignoring other potential contributors, such as land subsidence associated with ground water extraction. These shortcomings will be specifically addressed within the fellowship at the European level. The results will be used along with existing data bases and model infrastructure to develop a regional version of DIVA. The latter will be applied to perform the most comprehensive and realistic (in terms of temporal variations) mesoscale flood risk analysis of the European coastline to date, accounting, throughout the fellowship, for the full range of inherent model and scenario uncertainties.

  • Funder: EC Project Code: 618623
    Partners: TU/e
  • Open Access mandate for Publications
    Funder: EC Project Code: 726605
    Overall Budget: 1,043,740 EURFunder Contribution: 730,622 EUR
    Partners: SENSOWAVE

    STEPLA, https://youtu.be/5NcgzfTEGqE, http://www.stepla.es/en_index.html, developed by the Spanish SME MISC International (SensoWave) is the first ICT service platform for extensive breeding farms full management that offers location, monitoring, and traceability capabilities to locate livestock individuals in real time. STEPLA monitors in real time their condition detecting anomalies and facilitating farm management, including meat traceability and environmental impact of livestock farming activites. STEPLA integrates stakeholders such as veterinarians, suppliers, insurance companies, regulatory authorities, consumers, and every elements within the distribution chain. After being incubated by the SmartAgrifFood acceleration programme http://smartagrifood.com, and finalizing pilots in several farms in Spain, STEPLA reached their first selling agreement for the cow (beef) sector in 2015. With SMEInst-2 project STEPLA+, SensoWave envisages to carry out the needed adaptations to cover other livestock, targeting pigs, sheep and goats, and horses, and to include new functionalities (temperature sensors, more complex bigdata based algorithms, etc.), in order to increase STEPLA+ market penetration becoming the main solution for European livestock farmers in the coming years. STEPLA+ will reach commercialisation step in 2018-19, resulting in a 4-year ROI of 309% for SensoWave, and generating 204 new jobs, plus positively impacting the European livestock farming sector (also by increasing exports) and the European citizens welfare.

  • Open Access mandate for Publications
    Funder: EC Project Code: 642445
    Overall Budget: 766,123 EURFunder Contribution: 766,123 EUR
    Partners: PHILIPS ELECTRONICS NEDERLAND B.V., UKA

    AdapTT will unlock the potential for development of a real time adaptive therapy planning tool for thermal treatment in prostate oncology. Highly specialized and cost effective state-of-the-art scientific solutions can only be developed when complimentary partners of different sectors work synergistically. The intersectoral nature of the European Industrial Doctorates (EID) framework, between industry and academia, is a key requirement for success of the proposed PhD projects. Specific application knowledge on clinical software platforms development, imaging systems and therapy modalities of the industrial partner, has to be combined with fundamental biophysical knowledge and clinical need insights of the clinical academic partner. This combination of European based expertise is unique and being able to be exposed to these different research climates will strongly enhance the employability and career prospects of the early stage researchers (ESR’s), participating in the program. The objectives of AdapTT are: 1. To train and to deliver a cohort of young researchers experienced in transcending traditional research boundaries to deliver deeper insight into energy dose delivery of thermal therapy modalities such as high intensity focused ultrasound (HIFU), microwave, laser and radiofrequency (RF) in soft tissue; 2. To discover and leverage deep understanding of the molecular, cellular and biophysical impact of temperature on tumour cell behaviour and healthy soft tissue properties; 3. To develop a therapy planning tool, based on a combination of pre-clinically validated 3D energy dose delivery biophysics models and mathematical algorithms to enable real time energy monitoring and real time energy delivery adaptation; 4. To significantly impact EU competitiveness by bringing leading science- and technology experts together to work on basic- and translational problems from both academic and industrial viewpoint.

  • Open Access mandate for Publications
    Funder: EC Project Code: 687414
    Overall Budget: 4,458,830 EURFunder Contribution: 3,255,480 EUR
    Partners: IFSTTAR, HITACHI RAIL STS SPA, UNIFE, CAF ID, THALES TRANSPORTATION SYSTEMS GMBH, INECO, AZD, BOMBARDIER TRANSPORTATION SWEDEN AB, Technische Universität Braunschweig, Alstom (Belgium)...

    The STARS project paves the way for the future EGNSS deployment in safety relevant railway applications. By evolving the highly developed and deployed ERTMS standard through the implementation of the satellite positioning functionality, it will be possible to reduce the cost of the future railway signalling systems, especially for lines with lower traffic density. The project deals with three main topics: 1) The elaboration of reference data and characterisation of the railway environment through a measurement campaign; 2) The assessment of the EGNSS performances achievable in the railway environment with the determination of the applicable requirements for the positioning system as well as the necessary evolutions of EGNSS services and ERTMS/ETCS functions and 3) Quantification of the economic benefits and specifying the possible implementation roadmap when applying the EGNSS on railways. The project is strongly linked with other initiatives and actions on the same topic in Europe. In order to feed directly into the standardization work of ERTMS, the project partners will cooperate closely with UNISIG. Moreover, the project will actively interact with NGTC (EU funded FP7) and the results will be directly implemented by SHIFT2RAIL, providing the practical demonstrators for different categories of railway tracks. The approach developed in STARS is also taking the profit of the strong know-how inherited from civil aviation, making this project as completely integrated and consistent in overall activities in Europe and worldwide, leading to the effective deployment of the satellite technologies in advanced railway signalling systems.

  • Open Access mandate for Publications
    Funder: EC Project Code: 708321
    Overall Budget: 170,122 EURFunder Contribution: 170,122 EUR
    Partners: CIC biomaGUNE

    The real challenge in the field of nanomaterials is to fabricate hybrid systems that can function as smart materials in a wide variety of applications. Hybrid systems possessing protein templates can be potential candidates in this direction due to the wide variety of applications possible in biological systems. The project outlined below aims at the synthesis of novel hybrid conjugates based on protein templates and gold/silver nanoparticles (NPs)/nanorods (NRs) as plasmonic materials to generate chiral plasmons. Different proteins will be utilized for the fabrication of two different chiral templates: (i) helical one dimensional aggregates and (ii) chiral crystals. The plasmonic metal NPs/NRs can be introduced on these templates utilizing electrostatic and covalent interactions resulting in chiral plasmons. The mechanism of chirality transfer from the template to NPs/NRs can be studied by the detailed crystallographic investigations of the template, nanoparticle and their heterojunctions. The extent of chirality transfer would depend largely on the nature of the template and hence the project aims at fabricating hybrid systems wherein the transfer of chirality from the template to the plasmonic material is efficient. The hybrid systems can be used for enhancing the spectroscopic signals of molecules in Surface Enhanced Raman Scattering (SERS). Our ultimate goal is to utilize the hybrid chiral systems as biosensors (i) for the detection of assembly and disassembly of proteins as well as (ii) for understanding crystallographic changes in medication. The importance of the first part is emphasized by the fact that the assembly of proteins is the cause for various neurodegenerative diseases and its disassembly can be an effective mode of therapy. On the other hand, the insulin is delivered to diabetic patients in the form of crystals and the slow crystal dissolution is the mode of supplying insulin into the blood stream. The importance of the two biological phenomena m

  • Open Access mandate for Publications
    Funder: EC Project Code: 658173
    Overall Budget: 183,455 EURFunder Contribution: 183,455 EUR
    Partners: University of Birmingham, UCL

    Nitroaromatics are a vast group of molecules of interest in different fields of research and applications: for example urban atmospheric contamination, energy materials and to the drug delivery sector. The simplest nitroaromatics compounds are nitrobenzene, 1-nitronaphthalene, and 2-nitronaphthalene. The study of such systems will then constitute the most natural starting point in order to investigate the properties of the nitroaromatics group of compounds. Moreover these three particular molecules are characterized by important and in some case unique photophysical and photochemical properties. For example, 1NN is the organic compound with the fastest multiplicity change ever measured. Recently, an increasing interest in NB has occurred in relation to the so-called roaming radical reactions, which are a new type of reactions that follow a mechanism not contemplated in transition-state theory. With the present project, we aim to characterize the photophysics and photochemistry of the related systems NB, 1NN and 2NN under UVA/UVB exposure through the computation of ab initio quantum chemical dynamics simulations. In particular we will study: their main decay paths, the intersystem-crossing process toward the triplet manifold, the mechanisms leading to the photoisomerization of the nitro into a nitrite group, including the possibility of roaming radical photoisomerization, and the competition among all the mentioned processes.

  • Funder: EC Project Code: 626267
    Partners: INAF
  • Open Access mandate for Publications
    Funder: EC Project Code: 703415
    Overall Budget: 183,455 EURFunder Contribution: 183,455 EUR
    Partners: University of Warwick, University of Birmingham

    Polymer materials have outstanding properties with which to be applied for a wide range of applications. In particular, hydrogel materials are widely studied for applications in tissue engineering on account of their high water contents. Despite the advances in these materials, some biomedical targets remain challenging. Articular cartilage (AC) is the white flexible load-bearing soft tissue able to withstand the highest loads in physically demanding areas of the body. Once it is damaged, its poor ability for self-repair may induce a progressive loss of function that, ultimately, results in a severe musculoskeletal degenerative condition. While most commonly used hydrogel fabrication techniques still have practical limitations or do not lead to materials that are sufficiently strong for AC regeneration, the DN-Cartilogel project proposes the preparation of innovative tough, double network hydrogel materials that are based on advanced hydrophilic poly(carbonate)s. The tailored design of polymers with specific side-chain and end group functionalities will lead to hydrogel materials with improved mechanical strength, toughness and high water content. To this end, the project will apply the one-step synthetic methodology based on orthogonal click chemistry that was reported recently by the host group to generate novel and highly tunable materials. The ultimate goal is to develop a straightforward path to design robust DN hydrogels able to induce the differentiation of mesenchymal stem cells into specialized cartilage-producing cells, which directly addresses priorities established by the H2020 Work Programme.

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5,008 Projects, page 1 of 501
  • Open Access mandate for Publications
    Funder: EC Project Code: 809764
    Overall Budget: 71,429 EURFunder Contribution: 50,000 EUR
    Partners: ALKION BIOINNOVATIONS

    Plants compounds have been used for ages as food additives & flavors. Chemistry has offered solutions on the last 30 years to produce simple and low cost compounds, but some have been now considered as dangerous (glucose-fructose) and even toxic. Food safety and quality have been a big issue for consumers for which natural products demand is bombing. Food industry requires now innovative solutions to produce natural compounds at a competitive price with sustainable technologies but also to find natural solution to cope with obesity and diabetes for which they look responsible for. One of the most exciting solutions is in-vitro propagation of plants inside bioreactors. This field once too limited in yield or too expensive has reached new horizons thanks to Alkinnov’s technologies supported by a team of world renowned scientists and executed by a brilliant R&D team. Alkinnov, after having obtained exceptional results in Cosmetics, has improved its technological platform to enter the food additives & flavors markets. Its new bioreactor “Alkaburst 2.0” has been designed and patented to produce high volumes production where cost can be divided by a factor of 50 to first target unsuppliable natural expensive sweeteners & flavors. Indeed the performance of production yields can reach up to 1000 times the ones on soil today with room for improvement using A.I. and biostimulation. The project focuses on the development of a 100t/year pilot plant for 5 major food addition/flavors to reshape the consumption of the natural compounds in food. In addition, the technology has been validated for 70 other leaves, shoots & root varieties and has the potential to support in-vitro cultivation of any plant plant tissue, covering numerous applications in pharmaceuticals, fragrances, pest-control, phyto-protection and food additives, among others.

  • Open Access mandate for Publications
    Funder: EC Project Code: 658025
    Overall Budget: 195,455 EURFunder Contribution: 195,455 EUR
    Partners: University of Southampton

    A large portion of the coastal population worldwide, including Europe, is already vulnerable to extreme high sea level events. In the future it is expected that climate change will increase coastal flood risk making costly adaptation inevitable. In order to help develop robust and flexible coastal management strategies, decision makers need to explore how, when, and where future changes in the physical environment will require immediate action. This is aggravated by the existence of large uncertainties in climate projections. Impact assessment models, such as the Dynamic Interactive Vulnerability Assessment (DIVA) model, have been used extensively to assess the socio-economic impacts associated with coastal flooding under climate change and to explore the benefits of mitigation, adaptation, and migration. However, because the DIVA model is applied at broad scales, it is based on a number of significant assumptions. Most notably, present-day return water levels (one of the key forcing parameters in the model) were derived using a simple global approach. Moreover, decadal variations in storminess and associated changes in future return water levels were ignored. Storm surges and river floods were assumed to be fully independent and vertical land movement rates were approximated with a global glacial isotactic adjustment model ignoring other potential contributors, such as land subsidence associated with ground water extraction. These shortcomings will be specifically addressed within the fellowship at the European level. The results will be used along with existing data bases and model infrastructure to develop a regional version of DIVA. The latter will be applied to perform the most comprehensive and realistic (in terms of temporal variations) mesoscale flood risk analysis of the European coastline to date, accounting, throughout the fellowship, for the full range of inherent model and scenario uncertainties.

  • Funder: EC Project Code: 618623
    Partners: TU/e
  • Open Access mandate for Publications
    Funder: EC Project Code: 726605
    Overall Budget: 1,043,740 EURFunder Contribution: 730,622 EUR
    Partners: SENSOWAVE

    STEPLA, https://youtu.be/5NcgzfTEGqE, http://www.stepla.es/en_index.html, developed by the Spanish SME MISC International (SensoWave) is the first ICT service platform for extensive breeding farms full management that offers location, monitoring, and traceability capabilities to locate livestock individuals in real time. STEPLA monitors in real time their condition detecting anomalies and facilitating farm management, including meat traceability and environmental impact of livestock farming activites. STEPLA integrates stakeholders such as veterinarians, suppliers, insurance companies, regulatory authorities, consumers, and every elements within the distribution chain. After being incubated by the SmartAgrifFood acceleration programme http://smartagrifood.com, and finalizing pilots in several farms in Spain, STEPLA reached their first selling agreement for the cow (beef) sector in 2015. With SMEInst-2 project STEPLA+, SensoWave envisages to carry out the needed adaptations to cover other livestock, targeting pigs, sheep and goats, and horses, and to include new functionalities (temperature sensors, more complex bigdata based algorithms, etc.), in order to increase STEPLA+ market penetration becoming the main solution for European livestock farmers in the coming years. STEPLA+ will reach commercialisation step in 2018-19, resulting in a 4-year ROI of 309% for SensoWave, and generating 204 new jobs, plus positively impacting the European livestock farming sector (also by increasing exports) and the European citizens welfare.

  • Open Access mandate for Publications
    Funder: EC Project Code: 642445
    Overall Budget: 766,123 EURFunder Contribution: 766,123 EUR
    Partners: PHILIPS ELECTRONICS NEDERLAND B.V., UKA

    AdapTT will unlock the potential for development of a real time adaptive therapy planning tool for thermal treatment in prostate oncology. Highly specialized and cost effective state-of-the-art scientific solutions can only be developed when complimentary partners of different sectors work synergistically. The intersectoral nature of the European Industrial Doctorates (EID) framework, between industry and academia, is a key requirement for success of the proposed PhD projects. Specific application knowledge on clinical software platforms development, imaging systems and therapy modalities of the industrial partner, has to be combined with fundamental biophysical knowledge and clinical need insights of the clinical academic partner. This combination of European based expertise is unique and being able to be exposed to these different research climates will strongly enhance the employability and career prospects of the early stage researchers (ESR’s), participating in the program. The objectives of AdapTT are: 1. To train and to deliver a cohort of young researchers experienced in transcending traditional research boundaries to deliver deeper insight into energy dose delivery of thermal therapy modalities such as high intensity focused ultrasound (HIFU), microwave, laser and radiofrequency (RF) in soft tissue; 2. To discover and leverage deep understanding of the molecular, cellular and biophysical impact of temperature on tumour cell behaviour and healthy soft tissue properties; 3. To develop a therapy planning tool, based on a combination of pre-clinically validated 3D energy dose delivery biophysics models and mathematical algorithms to enable real time energy monitoring and real time energy delivery adaptation; 4. To significantly impact EU competitiveness by bringing leading science- and technology experts together to work on basic- and translational problems from both academic and industrial viewpoint.

  • Open Access mandate for Publications
    Funder: EC Project Code: 687414
    Overall Budget: 4,458,830 EURFunder Contribution: 3,255,480 EUR
    Partners: IFSTTAR, HITACHI RAIL STS SPA, UNIFE, CAF ID, THALES TRANSPORTATION SYSTEMS GMBH, INECO, AZD, BOMBARDIER TRANSPORTATION SWEDEN AB, Technische Universität Braunschweig, Alstom (Belgium)...

    The STARS project paves the way for the future EGNSS deployment in safety relevant railway applications. By evolving the highly developed and deployed ERTMS standard through the implementation of the satellite positioning functionality, it will be possible to reduce the cost of the future railway signalling systems, especially for lines with lower traffic density. The project deals with three main topics: 1) The elaboration of reference data and characterisation of the railway environment through a measurement campaign; 2) The assessment of the EGNSS performances achievable in the railway environment with the determination of the applicable requirements for the positioning system as well as the necessary evolutions of EGNSS services and ERTMS/ETCS functions and 3) Quantification of the economic benefits and specifying the possible implementation roadmap when applying the EGNSS on railways. The project is strongly linked with other initiatives and actions on the same topic in Europe. In order to feed directly into the standardization work of ERTMS, the project partners will cooperate closely with UNISIG. Moreover, the project will actively interact with NGTC (EU funded FP7) and the results will be directly implemented by SHIFT2RAIL, providing the practical demonstrators for different categories of railway tracks. The approach developed in STARS is also taking the profit of the strong know-how inherited from civil aviation, making this project as completely integrated and consistent in overall activities in Europe and worldwide, leading to the effective deployment of the satellite technologies in advanced railway signalling systems.

  • Open Access mandate for Publications
    Funder: EC Project Code: 708321
    Overall Budget: 170,122 EURFunder Contribution: 170,122 EUR
    Partners: CIC biomaGUNE

    The real challenge in the field of nanomaterials is to fabricate hybrid systems that can function as smart materials in a wide variety of applications. Hybrid systems possessing protein templates can be potential candidates in this direction due to the wide variety of applications possible in biological systems. The project outlined below aims at the synthesis of novel hybrid conjugates based on protein templates and gold/silver nanoparticles (NPs)/nanorods (NRs) as plasmonic materials to generate chiral plasmons. Different proteins will be utilized for the fabrication of two different chiral templates: (i) helical one dimensional aggregates and (ii) chiral crystals. The plasmonic metal NPs/NRs can be introduced on these templates utilizing electrostatic and covalent interactions resulting in chiral plasmons. The mechanism of chirality transfer from the template to NPs/NRs can be studied by the detailed crystallographic investigations of the template, nanoparticle and their heterojunctions. The extent of chirality transfer would depend largely on the nature of the template and hence the project aims at fabricating hybrid systems wherein the transfer of chirality from the template to the plasmonic material is efficient. The hybrid systems can be used for enhancing the spectroscopic signals of molecules in Surface Enhanced Raman Scattering (SERS). Our ultimate goal is to utilize the hybrid chiral systems as biosensors (i) for the detection of assembly and disassembly of proteins as well as (ii) for understanding crystallographic changes in medication. The importance of the first part is emphasized by the fact that the assembly of proteins is the cause for various neurodegenerative diseases and its disassembly can be an effective mode of therapy. On the other hand, the insulin is delivered to diabetic patients in the form of crystals and the slow crystal dissolution is the mode of supplying insulin into the blood stream. The importance of the two biological phenomena m

  • Open Access mandate for Publications
    Funder: EC Project Code: 658173
    Overall Budget: 183,455 EURFunder Contribution: 183,455 EUR
    Partners: University of Birmingham, UCL

    Nitroaromatics are a vast group of molecules of interest in different fields of research and applications: for example urban atmospheric contamination, energy materials and to the drug delivery sector. The simplest nitroaromatics compounds are nitrobenzene, 1-nitronaphthalene, and 2-nitronaphthalene. The study of such systems will then constitute the most natural starting point in order to investigate the properties of the nitroaromatics group of compounds. Moreover these three particular molecules are characterized by important and in some case unique photophysical and photochemical properties. For example, 1NN is the organic compound with the fastest multiplicity change ever measured. Recently, an increasing interest in NB has occurred in relation to the so-called roaming radical reactions, which are a new type of reactions that follow a mechanism not contemplated in transition-state theory. With the present project, we aim to characterize the photophysics and photochemistry of the related systems NB, 1NN and 2NN under UVA/UVB exposure through the computation of ab initio quantum chemical dynamics simulations. In particular we will study: their main decay paths, the intersystem-crossing process toward the triplet manifold, the mechanisms leading to the photoisomerization of the nitro into a nitrite group, including the possibility of roaming radical photoisomerization, and the competition among all the mentioned processes.

  • Funder: EC Project Code: 626267
    Partners: INAF
  • Open Access mandate for Publications
    Funder: EC Project Code: 703415
    Overall Budget: 183,455 EURFunder Contribution: 183,455 EUR
    Partners: University of Warwick, University of Birmingham

    Polymer materials have outstanding properties with which to be applied for a wide range of applications. In particular, hydrogel materials are widely studied for applications in tissue engineering on account of their high water contents. Despite the advances in these materials, some biomedical targets remain challenging. Articular cartilage (AC) is the white flexible load-bearing soft tissue able to withstand the highest loads in physically demanding areas of the body. Once it is damaged, its poor ability for self-repair may induce a progressive loss of function that, ultimately, results in a severe musculoskeletal degenerative condition. While most commonly used hydrogel fabrication techniques still have practical limitations or do not lead to materials that are sufficiently strong for AC regeneration, the DN-Cartilogel project proposes the preparation of innovative tough, double network hydrogel materials that are based on advanced hydrophilic poly(carbonate)s. The tailored design of polymers with specific side-chain and end group functionalities will lead to hydrogel materials with improved mechanical strength, toughness and high water content. To this end, the project will apply the one-step synthetic methodology based on orthogonal click chemistry that was reported recently by the host group to generate novel and highly tunable materials. The ultimate goal is to develop a straightforward path to design robust DN hydrogels able to induce the differentiation of mesenchymal stem cells into specialized cartilage-producing cells, which directly addresses priorities established by the H2020 Work Programme.

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