RCaz/eu-funding-proposals-sft huggingface dataset:
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the novelty, innovation potential and advance beyond the state of the art for 'Preclinical and Pilot Co-Clinical Evaluation of Simultaneous Digital Breast Tomosynthesis and Mechanical Imaging' (2014-2020).

assistant: **Innovation**

This MSCA is designed to support Dr. Predrag Bakic in his professional development and reintegration into European research community, after he obtained Ph.D. and spent 12 years as a faculty in USA. The host institution, Lund University (LU), is one of the largest in Sweden and among the most prestigious in Europe. Dr. Bakic and his LU supervisors, Dr. Sophia Zackrisson and Dr. Anders Tingberg, share the research focus in breast imaging, with unique complementary expertise: Dr. Bakic in Virtual Clinical Trials (VCTs) based upon the simulation of breast anatomy and imaging systems, and LU team in Mechanical Imaging (MI) and conducting clinical trials of breast imaging.      Our action is motivated by a persistent challenge of underdiagnosis and false positives in breast cancer healthcare. The four most exciting innovations in breast cancer imaging that have recently emerged include: Digital Breast Tomosynthesis (DBT), MI, VCTs, and artificial intelligence (AI). In this application we will utilize extensive experience of LU and Dr. Bakic to interconnect these innovations efficiently and flexibly, enabling significant benefits. Within the two-year timeline, we will design and build a simultaneous DBT and MI (termed DBTMI) prototype system, and develop image processing and DBT reconstruction to maximize image quality. We will evaluate the prototype, first preclinically by VCTs and physical phantoms, followed by a pilot co-clinical trial (which combines clinical and simulated data). We will also explore introducing modern AI methods, in the form of Deep Learning Networks (DLN) to improve DBTMI performance. DLN has demonstrated ability to discover complex correlations in clinical images, leading to superior detection and classification of clinical findings. Combined complemen
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an impact statement for 'Fully implantable patient-specific Artificial Hearts without External Power', explaining its relevance to EU policy priorities under Horizon 2020.

assistant: **Impact**

Patient population with end-stage heart failure in the EU grows by 5M annually. Due to donor shortage, only a handful of patients ever receive cardiac transplantation. Unfortunately, this results in 250K deaths every year. Long-term mechanical circulatory support (MCS) is a solution, but external power needs result in driveline infections and bulky systems limiting patient mobility. An innovative blood turbine device emerged from the parent ERC that can overcome these limitations. This novel turbine can drive MCS by transferring the available cardiovascular energy to the diseased site without the need of external power. The proposed passive concept (at TRL 6-7) will realize the long-sought use of ventricle assist devices (VAD) as a destination therapy. PoC project will enable the timely translation of a disruptive device to the bedside, by completing device optimization, comparative analysis and key preclinical experiments in accordance with the new MDR regulatory framework. Business development, valuation and IPR activities are also budgeted. Elimination of the bulky power systems and control units allowed three-dimensional printing of this artificial heart from biocompatible resins. This resulted a new “customized” VAD concept that can be precisely tailored for each individual patient needs. Furthermore, the comparatively low product cost (€1K vs. €120K) will allow access to a major untapped global market reaching 18 million people annually, as many developing countries have no access to expensive MCS systems. These intriguing business opportunities will be validated, and major commercialization tasks will be completed through a strong team of business mentors, clinicians and cardiovascular device experts. In addition to the adults with right-heart failure, the develo
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'Concept and Approach' section for a Horizon 2020 proposal on 'Origin: Development of a compact, time efficient and safe medical diagnostic machine'.

assistant: **Concept**

Current tissue processors on the market take up to 24 hours to process samples for diagnosis and leave the operator exposed to chemical fumes. They also use different kinds of chemicals, in large volumes, which leads to cross contamination of chemicals and samples. This results in more plastic packaging to dispose of, making the process both costly and environmental unfriendly. Our company, DIAPATH SpA, is developing an innovative solution to these problems - the E-Processor. DIAPATH has been in the tissue processing industry since 1997 and currently has a turnover of €12Million and 100 employees. The E-Processor reduces the number of processing steps, and reduces the number of chemicals used. The operator will be safeguarded from chemical fumes and chemical containers will now be disposed of in a safe and environmentally friendly way. Our value proposition is, less operating costs due to reduced chemicals and packaging, faster diagnosis and results for patients. Our target users are Hospitals and Diagnostics Laboratories. The current global diagnostics market is estimated at €243.59 Million and expected to reach €378 Million by year 2025. Our entry point for our innovation will be the European market, where we already have significant market share. We will be using our extensive distribution chain to bring our innovation to international markets. Our innovation is currently at prototype stage with a compact functional machine. Further validation and tests remain to be done to bring it to market. The purpose of the phase 1 is to carry out feasibility studies before commercialisation. This will allow us to come up with a detailed business plan covering a projected five-year period. This innovation will grow our market share from 30% and increase our turnover to €50millio
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the specific objectives and expected outcomes for 'Towards Seamless climate INFOrmation: merging sub-seasonal and seasonal predictioNs to better manage climate-related rIsks Affecting the wine sector' in the context of a Horizon Europe call.

assistant: **Objectives**

The wine industry is one of the agri-food sectors most highly influenced by climate variability and change at different timescales. In particular, the integration of reliable and timely sub-seasonal to seasonal (S2S) climate information in decision-making might help the wine sector to better manage climate-related risks. This explains the recent interest of the wine industry in these sources of climate information. However, one of the challenges that prevent the users from the uptake of climate information is the lack of coherence between the climate predictions from different sources (i.e., forecast systems at sub-seasonal and seasonal time scales). This project will develop a novel methodology to produce coherent S2S seamless climate information for the wine industry. This will involve 1) the understanding of the inconsistencies between the climate prediction sources at S2S timescales that prevent the users from a coherent flow of climate information and 2) the implementation of a methodology that merges sub-seasonal and seasonal predictions by using the knowledge from the physical processes relevant for the climate predictability at both timescales. The new scientific knowledge and methods will be co-developed in collaboration with representative stakeholders. They will work with the fellow to design the climate information that has actual value for the management of the vineyards, wineries, and the strategic planning for the wine market. The methods developed in this project could be further exploited to produce seamless S2S predictions for other socio-economic sectors (e.g., agriculture, health, and energy).  This action will be developed at the Barcelona Supercomputing Center (Spain), a well-known institution in the implementation of successful climate services fo
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Explain how 'Sharing Gains from Trade: Global Markets and Farmers Welfare in Developing Countries' goes beyond current state-of-the-art under Horizon 2020.

assistant: **Innovation**

The majority of the global poor live in rural areas and earn their livelihoods in agriculture. Linking farmers in developing countries (LDCs) to global markets, therefore, could potentially spur growth and reduce poverty. Market imperfections in agricultural chains in producing countries, however, limit these gains. Which policy tools, if any, help farmers in LDCs realize and share the gains from trade? I propose three broad projects that develop the tools to answer this question. The first project designs and implements the first randomized control trial (RCT) to test for the causes and consequences of market failures interacting along multiple layers of agricultural value chains. This is a necessary step to design targeted policy responses.The second project develops and estimates the first structural model of an agricultural value chain to evaluate different regulatory interventions. Historically, as well as today, governments have intervened in agricultural chains through a diverse array of policies and regulations. RCTs are not sufficient to evaluate these policies. The project develops flexible tools to perform counterfactual analysis and evaluate the merits of alternative policies and regulations in a variety of contexts. The third project studies voluntary sustainability standards (VSSs) (e.g., Fair Trade, Rainforest Alliance). VSSs are increasingly popular responses to market failures in agricultural chains in LDCs. Unlike regulatory interventions, VSSs directly affect only market participants that take them up. The project combines quasi-experimental and structural techniques to evaluate the direct impact, the indirect spillover effects, and the broader distributional consequences of VSSs. The three projects form a coherent research agenda that develops a comp
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Describe the specific objectives and expected outcomes for 'Centre for Excellence in Diagnostic and Advanced Therapeutics based on Extracellular Vesicles' in the context of a Horizon Europe call.

assistant: **Objectives**

In recent years, extracellular vesicles (EVs) have emerged within the scientific community for both biomarkers and therapeutic applications. However, the translation of the research findings represents a major challenge for biomedical research and healthcare. International cooperation is paramount to moving research findings to clinical applications and defining standard operating procedures. EVCA addresses this unmet need through a scientific strategy to reinforce research and innovation (R&I) excellence in the study of EV applications in diagnosis, therapeutics, and etiology of chronic diseases. The Chronic Diseases Research Center of the NOVA Medical School (UNL) aims to be at the forefront of international scientific excellence in applying EVs to diagnostic and therapeutic clinical priority challenges in chronic diseases.Towards this goal, UNL is twinning with the CIC bioGUNE (Spain) and Institut Curie (France), international references in EVs. EVCA will leverage on the partners’ outstanding multidisciplinary knowledge, experience, research and training best practices, as well as collaborative networks, to enhance the research capacity and innovation potential of UNL. EVCA is an integrated network of interactions (exchange and training of researchers, satellite meetings, Winter Retreats, virtual think tanks, links to industry, etc.), articulated with the individual and joint scientific agendas of the partners to power the research capacity of UNL and of its R&I ecosystems. EVCA expects to increase by 25% in multiple indicators by 2026, including the number of citations; h-index of UNL researchers; percentage of publications in top impact journals; number of international collaborations (including with industry). By stimulating novel and long-lasting interactions bet
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Write clear, measurable objectives and define the scope for the project 'Processing Underutilised Low value sugarbeet Pulp into VALUE added products (PULP2VALUE)' (PULP2VALUE) under Horizon 2020.

assistant: **Objectives**

Sugar beet pulp (SBP) accounts for  approx. 13 million tonnes in Europe and is a major residual stream from the sugar beet industry, which is currently valorised as low value feed and/or green gas. In order to increase the value of its side streams, PULP2VALUE developed multiple extraction techniques to isolate more valuable products from this large fraction of sugar beet pulp. Roughly 65% of the dry matter mass can be isolated as high value products being: microcellulose fibers (MCF) (33%), arabinose (16%) and galacturonic acid (16%).The overall objective of this project is to  further establish the value chains based on MCF, arabinose (Ara) and galacturonic acid (GalA). By demonstrating an integrated and cost-effective cascading biorefinery system to refine sugar beet pulp, Cosun aims to significantly increase (20-50 times) the value of the sugar beet pulp by demonstrating applications for approximately 65% of its mass in high value markets. For each of these products PULP2VALUE identified multiple product market combinations (PMC’s). For the MCF fraction application supply chains towards detergents, personal care, oil & gas, paints & coatings and composites are developed. Throughout the years Cosun developed a pilot facility in which the state-of-the-art unit of operations were tested. Together with partners, Cosun is now planning to optimize, integrate and scale-up these processes to a demonstration scale to further supply product development in order to establish long lasting supply chains. The PULP2VALUE will target 9 new value chains resulting in a market potential of at least 350.000 tons and a potential revenue of 200 million euro. The PULP2VALUE makes available a mild and environmentally friendly biorefinery process for beet pulp compared to other biobased and
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an impact statement for 'Integrated Mechanistic Modelling and Analysis of Large-scale Biomedical Data', explaining its relevance to EU policy priorities under Horizon Europe.

assistant: **Impact**

Modern cancer therapeutics target signalling processes within the cancer cells and the interaction of cancer and immune cells. A comprehensive understanding of these signalling processes is therefore essential to identify drug targets, plan clinical trials, and to select suitable drugs, drug combinations and drug dosages for a specific patient. Yet, most of the available mathematical models capture only a small number of molecular species and pathways, thereby ignoring important crosstalk and feedback loops. Furthermore, these models are usually based on experimental data for cell lines, which behave differently from complex cancer tissues.In INTEGRATE, I will develop computational methods for the full process of data-driven modelling of signalling processes in cancer, ranging from model development to parameterisation all the way to uncertainty analysis. To this end, I will combine methods from the fields of mathematical modelling, machine learning, and signal processing with established approaches in systems biology. The model development will employ natural language processing and an automatic testing framework. For federated model inference, I will develop scalable mini-batch optimisation and marginalisation based uncertainty quantification. To refine models, I will exploit tools from signal processing, such as blind identification of latent variables. I will apply the developed scalable mechanistic modelling approach to integrate large-scale biomedical data for molecular phenotyping studies and clinical trials across sites. This will provide mechanistic models reconciling the available data.The study will, for the first time, combine mechanistic modelling and machine learning for the integrated analysis of patient-derived omics and phenotypic data. By linking these
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Draft an executive summary for the EU project 'Engineering of bacteria to see light' (EOS) targeting Horizon Europe.

assistant: **Abstract**

EOS wants to create a new class of biohybrid living materials capable to perceive light and perform tasks remotely (i.e. drug delivery in hard-to-reach body locations). I propose to achieve this by inducing light sensitivity into non-photosynthetic motile bacteria at minimum invasiveness and complexity. Based on the notion that the active manipulation of the bacteria membrane potential allows controlling bacterial functions, including motion, EOS challenge is how to trigger effectively a membrane potential dynamics. EOS will employ a materials-based approach that I call “optobacterial-stimulation” and is composed by two key ingredients: i. light as a spatiotemporal precise tool that can control bacteria remotely; ii. phototransducing organic materials that associate spontaneously with bacterial cells without the need for neither covalent attachment nor genetic modification. The phototransducing mechanism stems from the “cross-talking” between molecular excitations and the polarization state of cells. The photoinduced membrane potential dynamics is ultimately linked to ion motive force, and thus to the bacterial flagellar motor. All these abovementioned elements have in common the study of light-matter interaction, which represents my main research interest in the last decade. Using optobacterial-stimulation I will answer to three outstanding questions that are related to each other and shape EOS objectives: i. can we engineer bacteria to perceive light through exogenous phototransducers? ii. are bacteria able to perceive different photostimulation approaches, as dictated by molecular excited states, in terms of membrane potential dynamics and motion? iii. can we understand the relationship between the fate of excited states and bacterial function? In the case study, I w
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'State of the Art and Innovation' section for a Fifth Framework proposal on 'Integrated observing and modeling of th arctic sea ice and atmosphere'.

assistant: **Innovation**

At present, the polar regions belong to the regions of which the least information is available about the current and predicted states of surface and atmosphere. IOMASA contributes to the activity of extending the European capacity in Earth observation technology within ice monitoring and meteorology by promoting, in general, the utilisation of EO data. There is a need to improve our knowledge and monitoring and forecasting capabilities for Arctic regions - The IOMASA project aims to contribute to this by developing new validated earth observation products, and to transform them into higher-order products by integrating them with other data sources to demonstrate the feasibility of a near real time forecasting and monitoring system for the Arctic weather and sea ice.
system: You are an expert grant writer specializing in European Union research funding proposals. You write compelling, well-structured proposal sections that demonstrate excellence, impact, and implementation quality, using precise EU terminology and following best practices for Horizon Europe, Horizon 2020, and earlier framework programmes.

user: Compose the 'Concept and Approach' section for a Fifth Framework proposal on 'Primary health-care in later life: improving service in Bangladesh and Vietnam'.

assistant: **Concept**

The study assesses the impact of targeted primary health care (PHC) interventions to improve the health and quality of life of older people in rural Vietnam and Bangladesh. The consortium consists of an experienced, multidisciplinary team from Sweden, the UK, Bangladesh and Vietnam. The project will assess the health needs of elderly people and the effectiveness of PHC services in meeting these needs. It will develop a sustainable intervention package to improve the delivery of a good quality health system to this vulnerable group. This package will target PHC providers, local communities, informal carers and older people themselves. The study will then assess the impact of these interventions using a range of quantitative and qualitative techniques, and will assess their applicability in other low-income settings. This will significantly increase the capacity of poorer countries to meet the health care needs of their rapidly ageing populations.