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CSEM

CSEM CENTRE SUISSE D'ELECTRONIQUE ET DE MICROTECHNIQUE SA - RECHERCHE ET DEVELOPPEMENT
Country: Switzerland
186 Projects, page 1 of 38
  • Funder: European Commission Project Code: 953138
    Funder Contribution: 5,355,920 EUR

    Cardiovascular diseases (CVDs) account for 45% of deaths in Europe and are estimated to cost the EU economy €210 billion a year. However, only four drugs targeting cardiovascular diseases have been approved for use in the last decade. Thus, models that could effectively simulate diseased tissues, would enable the accurate assessment of the efficacy of the pharmaceuticals, and would accelerate drug development are urgently needed. The main bottleneck towards such models is the foetal-like state of the human induced pluripotent stem cell (hiPSC) derived cardiomyocytes (CMs). That is hiPSC-CMs do not reach adult-like maturity. The objective of this project is to produce a platform for growth and maturation of cardiac microtissues for adult-like organotypic models in healthy and diseased states. To achieve that, biomimetic microenvironment that provides all the needed stimuli (electrical, mechanical, topological (3D environment) and biochemical (release of active molecules)), during the maturation of hiPSC-CMs will be developed. This will be achieved by combining electro-mechanoactive polymer-based scaffolds (EMAPS) with bioactive membranes. To characterize the effects of CVD drugs, the contractility of the microtissue will be monitored continuously and simultaneously (over 24-wells) using the sensors developed during the project. To increase the sensitivity and accuracy of the model, deep-learning based algorithms to detect the effects of drugs in vitro will be developed and verified. The goals will be achieved by a multidisciplinary consortium with complementary know-how of three academic units and seven small companies. The increased sensitivity and accuracy of organ-on-chip devices is a needed leap in technology that will accelerate new drug development without the need for animal models; the project aims to provide a platform for the realization of such physiologically-relevant organotypic models.

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  • Funder: European Commission Project Code: 257454
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  • Funder: European Commission Project Code: 825572
    Overall Budget: 3,999,680 EURFunder Contribution: 3,999,680 EUR

    Lung related diseases such as chronic obstructive pulmonary disease (COPD), pneumonia and asthma are considered the main causes of death in the EU. The current management of such diseases only allows a momentary patient assessment at the time point of out-clinic visit or hospitalization. Short-term trends in disease development, either deterioration or improvement, are not accessible. Continuous and real-time monitoring, especially in remote settings (e.g. patients’ homes) is not available. Additionally the devices used for monitoring the patients are massive, expensive, uncomfortable and difficult to operate, thus requiring specialized personnel. Several of them also rely on patients´ cooperation and compliance to guarantee proper examination results. The incorporation of novel electronics in garments presents great potential for addressing these challenges. More specifically, the adoption of Application-Specific-Integrated-Circuits (ASICs) neatly integrated in a comfortable and washable wearable is the key that makes the accurate and effective (in terms of both, cost and quality of life) continuous monitoring of lung diseases feasible. The 42-month project WELMO aims at developing and validating a new generation of low-cost and low-power miniaturized sensors, integrated in a comfortable vest, enabling the effective and accurate monitoring of the lungs, through the simultaneous collection of sound and electrical impedance tomography (EIT) signals with the same sensors that can be combined, processed and linked with specific clinical outcomes by applying innovative algorithms, making the systematic, accurate and real-time evaluation of respiratory conditions possible. The impact, acceptance and usability of WELMO will be validated in a realistic setup through the execution of two 6-month pilot studies. In addition, a business study will be carried out, aiming to the mid-term exploitation of the proposed solution.

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  • Funder: European Commission Project Code: 287842
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  • Funder: European Commission Project Code: 720952
    Overall Budget: 10,761,800 EURFunder Contribution: 7,000,000 EUR

    An increasing number of nanomaterials (NMs) are entering the market in every day products spanning from health care and leisure to electronics, cosmetics and foodstuff. Nanotechnology is a truly enabling technology, with unlimited potential for innovation. However, the novelty in properties and forms of NMs makes the development of a well-founded and robust legislative framework to ensure safe development of nano-enabled products particularly challenging. At the heart of the challenge lies the difficulty in the reliable and reproducible characterisation of NMs given their extreme diversity and dynamic nature, particularly in complex environments, such as within different biological, environmental and technological compartments. Two key steps can resolve this: 1) the development of a holistic framework for reproducible NM characterisation, spanning from initial needs assessment through method selection to data interpretation and storage; and 2) the embedding of this framework in an operational, linked-up ontological regime to allow identification of causal relationships between NMs properties, be they intrinsic, extrinsic or calculated, and biological, (eco)toxicological and health impacts fully embedded in a mechanistic risk assessment framework. ACEnano was conceived in response to the NMBP 26 call with the aim to comprehensively address these two steps. More specifically ACEnano will introduce confidence, adaptability and clarity into NM risk assessment by developing a widely implementable and robust tiered approach to NM physico-chemical characterisation that will simplify and facilitate contextual (hazard or exposure) description and its transcription into a reliable NMs grouping framework. This will be achieved by the creation of a conceptual “toolbox” that will facilitate decision-making in choice of techniques and SOPs, linked to a characterisation ontology framework for grouping and risk assessment and a supporting data management system.

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